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Title: Staff Machine Learning Engineer

Location: Hybrid – Redwood City, CA – 3x per week

Responsibilities:

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

Qualifications:

• 7+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

Summary:

Join a dynamic team that’s transforming how customers discover and engage with products. You’ll work with state-of-the-art ML technologies while seeing direct impact on user experience and business metrics. The role offers significant technical ownership and the chance to shape the future of personalization technology.

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Staff Machine Learning Engineer

SF Bay Area: Hybrid (3 days onsite/wk)

$270,000 – $325,000 Base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact.

Role

We’re looking for a Staff MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally.

Responsibilities

• Lead architecture and system design for large-scale ML systems (batch & real-time)
• Deploy experimentation-ready models into production with DS partners
• Build robust MLOps pipelines for serving, monitoring, and optimizing models
• Develop real-time inference systems, including vector database integrations
• Mentor junior engineers and foster a high-performance technical culture
• Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools

Requirements

• Strong software engineering foundation with Python and backend/data systems
• Proven experience deploying ML models in production at scale
• Expertise in product recommendation and personalization
• Experience with distributed systems, performance tuning, and cost optimization
• Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow
• Experience with real-time and batch pipelines, feature stores, and scalable inference
• Marketplace, e-commerce, or large-scale content platform experience
• Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

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Finance Analyst – Up to £47,000 (+ c.10% discretionary bonus)

Leicester – Hybrid (3 days per week in office)

The Company

A leading UK retailer with a national store network and a major online presence. Alongside its own ranges, the business partners with third‑party brands via its multi‑brand ‘Label’ division. You’ll join the finance analytics team that supports this high‑growth area, providing data‑driven insight to the Home and Fashion categories.

The Role

This is a data‑heavy, commercially focused role reporting to a Finance Manager within the multi‑brand (Label) team. You’ll use advanced SQL and data visualisation (Power BI preferred) to turn large, complex datasets into clear insights for senior stakeholders. Day‑to‑day you’ll analyse sales performance, promotions, inventory and supply‑chain signals to explain ‘what happened’ and ‘what to do next’-helping the business optimise revenue, margin and availability across categories.

Key Responsibilities

• Own the extraction, transformation and analysis of large datasets using SQL (and Databricks/Python where appropriate).
• Build and maintain automated Power BI dashboards and ad‑hoc reports for Home and Fashion stakeholders.
• Assess promotional performance and category trading: quantify uplift, cannibalisation, halo effects and ROI; recommend next actions.
• Blend sales, warehouse and supply‑chain data to flag risks/opportunities (e.g., availability, fulfilment bottlenecks, overstocks).
• Translate complex analysis into concise, visual stories; present findings to finance and commercial leaders.
• Partner with category managers and the wider multi‑brand team to shape trading and pricing decisions.
• Support requirements gathering for a new finance system implementation; validate data structures and ensure reporting continuity.
• Champion data quality, documenting logic/definitions to drive consistent insight across the function.

Your Skills & Experience

Essential:

• 2+ years in a data/analytics, finance analytics or commercial insight role.
• Advanced SQL (able to write complex joins/CTEs/window functions on large tables).
• Data visualisation and dashboarding (Power BI preferred; Tableau considered).
• Strong stakeholder communication-able to influence non‑technical audiences with clear, actionable recommendations.
• Evidence of turning analysis into commercial outcomes (add examples on your CV: revenue, margin, availability, cost savings).

Nice to have:

• Databricks and/or Python for data processing/automation.
• Retail or consumer background; understanding of trading, promotions and supply chain KPIs.
• Exposure to finance/reporting processes (e.g., KPI packs, month‑end, budgeting/forecasting).

The Benefits

• Salary up to £47,000 (sweet spot £44-45k) plus c.10% discretionary bonus.
• Hybrid working (3 days per week in the Leicester office).
• High visibility across Home & Fashion trading teams and Finance leadership.
• Real ownership of dashboards, analytical models and stakeholder relationships.
• Clear progression pathways within a well‑resourced analytics function.

Interview Process

• Stage 1: 30‑minute with the Finance Manager (fit, communication, experience).
• Stage 2: On‑site technical interview (SQL assessment) with the Financial Controller; discussion of your approach to real trading problems.

How to Apply

Please send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Shortlisting will prioritise candidates who evidence strong SQL, Power BI and stakeholder‑led commercial impact.

Keywords

Finance Analyst, Commercial Insight, SQL, Power BI, Databricks, Python, Retail Analytics, Promotions, Category Trading, Supply Chain, Dashboarding, Leicester, Hybrid.

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Are you an experienced Data Center Architect ready to drive critical infrastructure decisions at scale? Do you thrive in fast-paced environments where your designs power the core operations of a global organization? If you’re passionate about building secure, high-performance, and future-ready data centers, this opportunity is for you.

About the Company:

My client is a global leader in advanced manufacturing and technology, producing semiconductors that power the world’s most innovative products. With a deep commitment to precision, reliability, and operational excellence, the company’s IT organization plays a vital role in supporting mission-critical systems and enabling technological breakthroughs across industries. Infrastructure is at the core of everything the company builds, and the data center is where it all begins.

About the Role:

My client is seeking a Data Center Architect to design and guide the evolution of its enterprise-scale data center infrastructure. This role sits at the intersection of technology strategy and operations, with responsibility for everything from capacity planning and performance optimization to security and vendor management. You’ll lead the architecture and planning of physical and virtual infrastructure, ensuring the systems are built for scale, efficiency, and resilience.

Key Responsibilities:

• Infrastructure Design: Develop detailed physical and logical designs for data center components, server racks, networking, storage, power, and cooling.
• Capacity Planning: Analyze and forecast data center requirements to support current and future business needs.
• Performance Optimization: Ensure the data center operates at peak efficiency through system and process tuning.
• Security Implementation: Establish strong physical and cyber security measures to protect critical infrastructure.
• Vendor Management: Oversee vendor relationships related to equipment procurement, installation, and service.
• Project Management: Lead infrastructure projects, managing budgets, timelines, and cross-functional coordination.
• Technical Leadership: Mentor IT teams, provide architectural direction, and lead virtualization and automation initiatives.
• Stakeholder Engagement: Collaborate with server, storage, and executive teams to align architecture with business strategy.
• Trend Monitoring: Stay ahead of emerging trends in data center technology, sustainability, and design.

Skills and Qualifications:

• Minimum 5 years of experience in data center architecture within large enterprise environments.
• Strong technical knowledge of servers, storage, networking, cooling, and power systems.
• Proven ability to develop end-to-end data center designs and documentation.
• Skilled in performance tuning, virtualization, and automation across infrastructure layers.
• Experienced in managing complex projects and cross-functional initiatives.
• Excellent problem-solving and communication skills, able to interface with both technical teams and senior leadership.
• Leadership experience in guiding engineering or IT operations teams.
• Relevant certifications in data center technologies and architecture are preferred.

What the Company Offers:

• A high-impact role in a mission-critical function with global visibility.
• The opportunity to work with cutting-edge technologies and lead major infrastructure initiatives.
• A collaborative environment that values innovation, technical excellence, and continuous improvement.
• Competitive compensation and a comprehensive benefits package.
• A chance to architect systems that directly support next-generation products and global operations.

If you’re a strategic thinker with the technical depth and leadership skills to shape enterprise-scale infrastructure, this is your opportunity to make a lasting impact.

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SENIOR RISK DECISIONS SYSTEMS ANALYST

£48,000

SURREY

THE COMPANY

This company is a growing auto finance business who have an established presence in the UK. This company are particularly notable for their strong work culture and excellent progression and development. This role offers a rare opportunity to work on a range of projects as part of an exciting transformation within the bank.

THE ROLE

• Managing and programming decision engines for the business as part of a new engine migration
• Testing and validating changes within systems to enhance strategies for pricing and credit risk
• Policy changes and wider portfolio analysis for the lending book as necessary
• Working closely with senior stakeholders across the business to enhance decisioning data and processes

YOUR SKILLS AND EXPERIENCE

• Essential to have experience using Provenir
• Prior experience working closely with stakeholders and communicating to other teams within a business space
• Good experience working with and understanding of Credit Bureau data
• Experience using SAS is desirable

SALARY AND BENEFITS

• Up to £48,000 base salary
• Company bonus scheme
• Contributory pension scheme
• Flexible holiday scheme
• Hybrid work model

HOW TO APPLY

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

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Director of Data Architecture & Governance

Location: San Antonio, TX (On-site)

Salary: $160,000 – $190,000 base

The Role

We’re hiring a Director of Data Architecture & Governance to build the foundation of enterprise data across a complex, multi-system environment. This is a highly strategic, hands-on leadership role. You’ll define the data architecture, implement governance standards, and ensure trusted, compliant data flows across core business systems-spanning finance, operations, HR, and more.

This is the right role for someone who’s led data strategy at scale and is ready to take ownership of a company-wide transformation.

What You’ll Do

• Architect and maintain enterprise data systems including data lakes, warehouses, and real-time pipelines
• Define and enforce data governance policies across business-critical systems (POS, HRIS, finance, supply chain, etc.)
• Standardize metadata, master data, lineage, and stewardship practices across the organization
• Select and implement tools for data cataloging, access control, and classification
• Partner with Legal, IT, HR, and Operations to ensure responsible and compliant data usage
• Lead data quality efforts including validation, cleansing, and auditing
• Serve as a strategic advisor to executive leadership on data infrastructure, risk, and scalability

What We’re Looking For

• 8+ years of experience in data architecture, governance, or enterprise data management
• Proven ability to design scalable, cloud-based data systems (e.g., AWS, GCP, Snowflake)
• Experience with governance frameworks (e.g., DAMA, DMBOK) and compliance requirements (e.g., CCPA, PCI)
• Familiarity with ETL tools, metadata platforms, and data security standards
• Strong leadership, documentation, and cross-functional communication skills
• A systems thinker with a passion for building clean, scalable, business-ready data environments

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DIRECTOR OF ENGINEERING

SAN FRANCISCO (HYBRID, 2-3 DAYS/WEEK ONSITE)

$200,000 – $240,000 BASE SALARY + EQUITY

About the Company

This fast-growing health technology company is transforming how individuals understand and manage their long-term health. By combining advanced data science, bioinformatics, and secure technology platforms, they deliver personalized health insights that can guide care decisions over a lifetime.

The company has successfully launched products in the last year, built a strong customer base, and is backed by leading investors. With aggressive growth ahead, they’re seeking an experienced engineering leader to scale their technology organization and accelerate product delivery.

About the Role

You’ll lead a talented engineering team through a period of rapid growth, guiding both technical direction and team development. As the current engineering head transitions into a CTO role, you’ll take ownership of day-to-day engineering leadership-ensuring the team can build reliable, scalable, and innovative systems to support the company’s mission.

You will be expected to provide high-level strategic guidance, while still being hands-on enough to understand technical challenges and help unblock the team when necessary.

Key Responsibilities

• Lead and grow a cross-functional engineering team from ~10 members to a larger, scalable organization
• Set technical vision and align it with business objectives in collaboration with the CTO and product leadership
• Foster a high-performance engineering culture focused on quality, collaboration, and accountability
• Oversee the delivery of core systems, internal tools, and customer-facing features
• Stay engaged with technical decisions and occasionally contribute code (approx. 10%)
• Mentor engineering leaders and promote professional growth across the team

What We’re Looking For

• 8+ years of industry experience, with at least 3+ years in an engineering leadership role (preferably at the Director level)
• Proven experience leading small, high-performing teams and scaling them effectively
• Strong background in Python development and modern software engineering practices
• Track record in biotech, life sciences, or healthcare tech preferred; familiarity with genetic testing is a plus
• Experience with both backend systems and at least an understanding of frontend technologies
• Comfortable in a hybrid work setting with 2-3 days/week onsite in San Francisco

The Right Fit

• A strategic leader who can balance business goals with technical excellence
• Able to thrive in an entrepreneurial, fast-moving environment
• Passionate about using technology to make a meaningful impact in people’s lives

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Staff Data Scientist – Modeling Focus (IC Role)

Remote (EST/CST)

$200-250k + bonus

We’re looking for a data scientist who loves building models and has a strong background in commercial and digital data. Ideally, you’ve worked in fast moving environments, translating complex data into actionable insights for marketing, sales, or customer experience.

What you’ll be doing

• Own models end-to-end: clean the data, engineer features, build, validate, deploy, and iterate
• Use statistical and predictive modeling to tackle forecasting, optimization, and risk challenges
• Build models from scratch and bring key modeling in-house
• Collaborate with engineers, analysts, and product teams to ensure models are production-ready and maintain performance
• Monitor model performance and adjust as needed when data drifts
• Communicate insights effectively to both technical and non-technical stakeholders, influencing strategy across the business

What we’re after

• 5+ years of hands-on experience building and deploying models in a data science role
• STEM degree (or equivalent experience)
• Strong Python and SQL skills, with experience in scikit-learn, pandas, NumPy, or similar
• Demonstrated ability to lead hands-on modeling projects
• Solid statistics background: regression, hypothesis testing, experimental design
• Comfortable wrangling large, messy datasets
• Clear and concise communicator who can translate technical results into business impact

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Position: Research Engineer

Location: Amsterdam

Employment Type: Full-time

About Us

This organisation are a cutting-edge technology company in the finance and trading space, they are dedicated to solving complex challenges through research, experimentation, and innovation. Our work sits at the intersection of advanced algorithms, scalable engineering, and practical product impact. They turn ambitious ideas into real-world solutions-and we’re looking for a Research Engineer to join us on that journey.

The Role

As a Research Engineer, you’ll bridge the gap between exploratory research and production-grade engineering. You’ll prototype new concepts, develop proof-of-concepts, and help translate research breakthroughs into deployable, scalable solutions. You’ll work closely with scientists, engineers, and product teams to bring next-generation technology into the hands of our

customers.

Key Responsibilities

• Design and implement prototypes to validate research ideas.
• Collaborate with research scientists to explore new algorithms, architectures, and data-driven methods.
• Transform promising prototypes into production-ready systems in collaboration with engineering teams.
• Contribute to technical publications, patents, and internal knowledge sharing.
• Stay up to date with emerging research, tools, and technologies relevant to our domain.
• Work with ML Ops
• Also working with machine learning
• Testing new solutions
• Working with Python

Skills & Experience

• Strong programming skills in Python, C++, or similar languages.
• Experience with applied machine learning, optimisation, or algorithmic development.
• Solid understanding of data structures, distributed systems, or performance optimisation.
• Ability to work across the full development cycle-from concept to deployment.
• Strong problem-solving skills and a creative, experimental mindset.

Nice-to-Have

• Experience with GPU computing (CUDA, TensorRT) or cloud environments (AWS, Azure, GCP).
• Familiarity with MLOps tools, model deployment, or scaling ML in production.
• Track record of academic publications, patents, or open-source contributions.

What They Offer

• Competitive salary and benefits.
• Flexible, hybrid or remote-first working options.
• Opportunity to work on high-impact, forward-looking projects.
• Dedicated time for learning, exploration, and skill development.
• A collaborative environment where curiosity and innovation are valued.

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Staff Data Scientist

Redwood City, California Area – Hybrid (3 days in office each week)

Salary: $275,000 – $310,000 base + bonus + equity

About the Company

This company is an eCommerce marketplace connecting millions of buyers and sellers across a thriving global community. With millions of active users, they are solving some of the most complex challenges in modern eCommerce. They are currently undergoing a major AI expansion initiative, investing heavily in machine learning and AI capabilities to deliver more personalized, efficient, and trusted marketplace experiences at scale.

About the Role

This company is seeking a highly skilled Staff Data Scientist to play a key role in their growing AI organization. In this role, you’ll design and lead high‑impact data science initiatives, building models that power critical marketplace functions such as personalization, recommendations, search ranking, content moderation, and trust & safety. You’ll be responsible for setting technical direction, mentoring other team members, and driving innovative AI solutions from concept to production.

This is a high‑ownership role where you will have autonomy to work independently, collaborate across functions, and influence the company’s AI strategy.

What You’ll Do

• Lead end-to-end ML projects for personalization, recommendations, feed ranking, and GenAI use cases.
• Partner with ML Engineers to build and scale production-ready systems.
• Drive experimentation to improve marketplace metrics (CTR, conversion, trust & safety scores).
• Mentor junior data scientists and guide technical execution within squads.

What They’re Looking For

• Strong Python skills and experience with deep learning frameworks (PyTorch preferred).
• Proven track record in recommendation systems, ranking models, NLP, or computer vision.
• Experience with large-scale consumer data in e-commerce, marketplaces, or social commerce.
• Knowledge of the full ML lifecycle and scaling models to millions of users.
• Background in high-scale consumer tech is a plus.

Culture Fit

• Collaborative and proactive, with the ability to simplify complex ideas for both technical and non‑technical audiences.
• Adaptable and comfortable with shifting priorities in a fast‑moving environment.
• High emotional intelligence with a growth‑oriented mindset.
• Open‑minded and creative, valuing a culture that embraces individuality.

Why This Role?

• Opportunity to be part of a major AI transformation with significant investment in R&D.
• Work on problems that directly impact millions of global users.
• Join a team that values innovation, collaboration, and adaptability.

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Director of Architecture & Data Governance

Onsite in San Antonio, Texas

$150,000 – $190,000 base

An established company entering a new era of innovation is seeking a Director of Architecture & Data Governance to lead the transformation of its data infrastructure and governance from the ground up. This is a high-impact role for a hands-on data leader eager to design and implement scalable frameworks that support enterprise-wide decision-making.

If you’re passionate about building modern data ecosystems where none currently exist, influencing enterprise architecture strategy, and ensuring trusted, secure, and well-governed data across the organization-this is your opportunity to own that vision.

What You’ll Own

• Define and implement the company’s enterprise-wide data architecture and governance strategy
• Design systems that support data lakes, data warehouses, real-time platforms, and emerging analytics tools
• Establish and operationalize governance standards: metadata management, lineage, access controls, quality, and compliance
• Lead data quality initiatives and implement scalable solutions for classification, cataloging, and stewardship
• Partner with cross-functional teams (IT, Operations, Legal, HR, and Executive Leadership) to guide responsible data use and shape data-driven culture
• Advise senior leaders on data risk, compliance, and strategic infrastructure planning
• Opportunity to grow and manage a team over time

What You Bring

• 6-8+ years in data architecture, data governance, or enterprise data management roles
• Experience building and operationalizing data infrastructure and governance frameworks from scratch
• Expertise in Azure or similar cloud-based data environments
• Strong knowledge of data management frameworks and compliance standards
• Familiarity with ETL tools, data cataloging platforms, metadata systems, and security protocols
• Exceptional cross-functional communication skills. You can prove your ability to engage both technical and non-technical stakeholders with clarity and confidence

Preferred Experience

• Exposure to operations-heavy environments with data use cases spanning labor, HR, and supply chain
• Comfort with fast-paced, evolving technical environments and an openness to redefining the tech stack as needed

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Position: Lead Data Engineer – Azure

Location: Amsterdam

Employment Type: Full-time

About Them

This organisation are a forward-thinking organisation harnessing data to drive smarter decisions, deliver innovation, and create real business impact. Our Azure-based data platform underpins everything we do-from analytics and AI to operational insights. Now, we’re looking for a Lead Data Engineer to take our data capabilities to the next level.

Within the role you will be working hands on whilst also taking on responsibility of the team and data engineering roadmap

The Role

As the Lead Data Engineer, you’ll be the technical authority for our Azure data ecosystem. You’ll design, build, and optimise data pipelines, lead architectural decisions, and mentor a talented team of engineers. You’ll work closely with data scientists, analysts, and business stakeholders to ensure our data solutions are robust, scalable, and future-ready.

Key Responsibilities

• Lead the design, development, and maintenance of scalable Azure-based data pipelines and architectures.
• Own technical standards, best practices, and quality across data engineering projects.
• Collaborate with architecture and DevOps teams to ensure smooth integration and deployment.
• Mentor, guide, and grow the skills of junior and mid-level data engineers.
• Optimise performance, security, and cost-effectiveness of Azure data services.
• Drive the adoption of modern data engineering practices, including CI/CD for data and Infrastructure as Code.

Core Technologies & Skills

• Azure Data Services: Data Factory, Synapse Analytics, Databricks, Data Lake Storage, Azure SQL Database.
• Strong SQL and Python skills; experience with PySpark a plus.
• Proven track record in designing ETL/ELT processes and real-time streaming pipelines.
• Solid understanding of data modelling, governance, and security principles.
• Familiarity with Azure DevOps, Git, and Infrastructure as Code (e.g., Bicep, Terraform).
• Experience leading engineering teams or projects in a data-focused environment.

Nice-to-Have

• Knowledge of Azure Machine Learning or AI integration.
• Experience with event-driven architectures (Event Hubs, Service Bus, Kafka).
• Exposure to data quality frameworks and monitoring tools.

What They Offer

• Competitive salary and performance-based bonus.
• Flexible working arrangements.
• Dedicated learning and development budget.
• Opportunity to shape the future of our data platform and lead strategic initiatives.
• Collaborative culture with a focus on innovation and continuous improvement.

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