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Senior Machine Learning Scientist

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

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior 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

• 3+ 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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Staff Machine Learning Scientist

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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Principal AI Engineer

New York, New York – hybrid

$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

• Work closely with department heads 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 generative AI, LLMs, agentic AI, 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 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Enterprise-level application experience, ideally in real-time preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience as a tech-lead for scaling MLE teams preferred.

• Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI 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 | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

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PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

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LEAD & SENIOR AI ENGINEER

Travel Required

We are seeking a number of Data Scientists to apply AI, data science, and advanced analytics to tackle complex real-world problems, owning end-to-end solutions from concept to embedded delivery-working in agile, multi-disciplinary teams to create lasting impact.

What you’ll do:

• Identify and deliver high-impact AI, analytics, and digital solutions from concept to operation.
• Lead end-to-end design and delivery of digital and machine learning products.
• Inspire multi-disciplinary teams across technology, process, and people.
• Set technical best practice and translate complex ideas for non-technical audiences.
• Stay current with emerging technologies and apply them pragmatically.
• Mentor colleagues and work closely with clients to embed lasting change.

Skills:

• Deep expertise in AI, data science, advanced analytics, or digital engineering.
• Proven experience delivering production-ready digital or ML solutions.
• Strong capability with modern languages, data platforms, and cloud tools.
• Ability to integrate technology into real-world business processes.
• Confident leader and collaborator with excellent communication skills.
• Client-focused, analytical, and adaptable, with a strong learning mindset.

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ML ENGINEER

UP TO £80,000 + BENEFITS

HYBRID – CHESTER

If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.

THE COMPANY:

I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.

With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.

THE ROLE:

This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.

Key responsibilities include:

• Operationalising ML models, including deployment, monitoring, retraining, and drift detection
• Acting as the bridge between Data Science and Engineering to productionise models
• Supporting a broad range of AI and ML initiatives, including:
• Revenue management and pricing optimisation
• Customer-facing AI products using LLMs and AI agents
• Churn prediction and revenue forecasting
• Defining and implementing ML best practices, CI/CD pipelines, and coding standards
• Improving reliability, scalability, and observability of production ML systems

YOUR SKILLS AND EXPERIENCE:

A successful ML / AI Engineer will bring:

• Hands-on experience deploying and maintaining ML models in production
• Experience with CI/CD in a production environment
• Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
• Ability to communicate effectively with Data Scientists and Product teams
• Experience with customer, marketing, or personalisation data is beneficial

THE BENEFITS:

You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Lead Data Scientist – Leicester (Hybrid)

We’re partnering with a well-established eCommerce organisation based in Leicester that is expanding its data capability. They’re looking for a Technical Lead Data Scientist to play a key role in shaping, delivering, and scaling high-impact data science solutions across the business.

This is a hands-on leadership role where you’ll combine deep technical expertise with the ability to guide teams and influence senior stakeholders.

What you’ll be doing:

• Lead the end-to-end development, deployment, and optimisation of data science projects in a production environment
• Design and build advanced machine learning models using customer data, including churn prediction, customer segmentation, and recommendation systems
• Provide technical leadership and mentorship to data scientists, setting best practices and raising overall capability
• Collaborate closely with stakeholders across the business, from C-suite executives to junior team members, translating complex technical concepts into clear, actionable insights
• Help shape the data science roadmap and contribute to strategic decision-making within the organisation

What we’re looking for

• 4+ years’ commercial experience working as a Data Scientist
• Strong programming skills in Python and SQL, with hands-on experience using PyTorch and TensorFlow
• Proven experience working on customer-focused or personalisation-driven data science problems (e.g. churn, recommendations, segmentation)
• Excellent communication skills, with the confidence to engage and influence both technical and non-technical stakeholders
• Experience leading projects or providing technical direction to others (formal leadership not essential)

To Apply for this Job Click Here

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Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus

A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.

Mission

• Act as technical lead for high-impact Data Science and AI initiatives across the organisation
• Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
• Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
• Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
• Mentor senior and junior data scientists, setting technical direction and raising engineering standards
• Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment

Profile

• PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
• Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
• Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
• Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
• Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
• Strong understanding of MLOps / LLMOps in enterprise environments

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VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco

A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.

Mission

• Design and deploy agentic AI systems to automate and optimise large-scale production environments
• Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
• Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
• Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
• Integrate AI agents with observability, incident management, deployment, and runtime platforms
• Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
• Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming

Profile

• Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
• 7+ years of experience in applied ML, data science, or software engineering in production environments
• Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
• Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
• Experience building secure, explainable, and reliable AI systems with strong governance and auditability
• Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes

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Senior ML Engineer
Full Remote
$180K-$200K base

A fast-growing AI product company operating in real-time decisioning, large-scale machine learning, and data-driven optimization. The business builds advanced AI systems used by major brands to automate and optimize high-impact decisions at massive scale. Strong engineering culture, modern ML infrastructure, and real product ownership in a highly technical environment.

Mission

• Architect, train, and maintain distributed machine learning systems powering core AI products
• Build and optimize neural network models for large-scale prediction, classification, and optimization
• Develop feature engineering pipelines on big data using Spark and modern data platforms
• Own the full ML lifecycle: training, tuning, evaluation, batch inference, and observability
• Design and operate production-grade ML pipelines with a focus on reliability, automation, and reproducibility

Profile:

• 5-10 years of industry experience building and deploying ML systems at scale
• Hands-on experience with distributed training and large-scale data processing (e.g., Ray, Spark, multi-GPU)
• Deep understanding of MLOps best practices: model versioning, experiment tracking, monitoring, reproducibility
• Familiarity with cloud platforms (AWS or equivalent), modern data stacks, and CI/CD pipelines
• Bonus: experience in adtech, optimization systems, reinforcement learning, LLMs, or large-scale embeddings

To Apply for this Job Click Here

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Senior ML Engineer
NYC
Up to $200K base + bonus + equity

Company

A global, AI-driven technology company operating at the intersection of machine learning, large-scale data, and digital advertising. The business builds advanced optimization and decisioning systems used by some of the world’s largest brands to improve performance at massive scale. Environment is highly technical, product-focused, and data-heavy, with real-world impact and strong engineering culture.

Mission

• Own and improve advanced optimization and bidding algorithms used in production
• Design, develop, and ship new ML-driven features and products
• Solve non-standard ML and statistical problems
• Operate and support production ML systems, including incident analysis and impact assessment
• Partner closely with Product and Engineering to translate business needs into technical solutions
• Contribute to system design, code reviews, and architectural decisions
• Release features continuously using CI/CD and infrastructure-as-code practices

Profile

• Master’s degree (or equivalent) in Applied Mathematics, Statistics (Mandatory)
• Minimum 3+ years of professional experience building data-driven or ML systems (excluding internships)
• Hands-on exposure to production environments
• Strong communication skills and ability to work in cross-functional teams
• Experience in AdTech or large-scale optimization systems is a plus, but not required

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