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Staff Applied AI Engineer | Bay Area (Hybrid) | $200k-$298k base + equity

I’m partnering with a high-growth SaaS company at the cutting edge of AI and compliance on a senior Applied AI Engineer hire.

This is not a typical “build a model and ship it” role.

This is where you define what good AI looks like – owning how systems retrieve, reason, and deliver trustworthy outputs at scale.

You’ll sit at the intersection of research and real-world impact, shaping the intelligence behind core product features.

‘ :

* Improving RAG systems – retrieval quality, chunking, embeddings, hybrid search

* Designing evaluation frameworks (metrics, golden datasets, regression detection)

* Building and tuning ranking + reranking systems (cross-encoders, LLM rerankers)

* Running experiments to validate what actually improves performance

* Debugging failure modes across retrieval, reasoning, and generation

* Prototyping agent-style workflows over complex, document-heavy data

* Exploring ML approaches beyond GenAI (ranking, classification, probabilistic models)

‘ :

* 8-10+ years in applied ML, data science, or AI research

* Strong experience in information retrieval / search relevance

* Hands-on with RAG systems and retrieval optimization

* Deep understanding of evaluation + experimentation (A/B testing, metrics)

* Python + strong problem-solving / research mindset

* Someone who can explain why systems work (or don’t) – not just build them

:

* You’ve only used LLM APIs without optimizing retrieval or evaluation

* Your experience is purely prompt engineering

* You prefer purely academic research without product impact

* You’re looking for a heavily structured, slow-moving environment

Candidates must be based in the Bay Area and open to a hybrid setup.

If you’re interested in making AI systems measurably better – not just building them, drop me a message or comment below.

Happy to share more details confidentially.

#AIJobs #MachineLearning #RAG #SearchRelevance #LLMs #Hiring #BayAreaJobs #TechJobs

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Marketing Analyst
Swindon – hybrid 2-3x a week
Up to £50,000

This is a newly created Marketing Analyst role within a fast growing, premium consumer and eCommerce business where insight plays a central role in shaping commercial decisions. You will have real ownership, strong senior stakeholder exposure, and the opportunity to influence how marketing analytics evolves as the business scales.

The Company
They are a well-established premium retailer with a strong heritage and a reputation for quality, long-lasting products. The business is experiencing significant growth, with continued investment across digital, growth and data capabilities. Despite their scale and ambition, they maintain a collaborative and entrepreneurial culture where ideas and insight are valued.

The Role
You will sit within the Digital and Growth function, acting as the dedicated Marketing Analyst supporting CRM, customer growth and wider marketing optimisation.
Key responsibilities include:

• Analysing CRM performance across email, SMS and direct mail campaigns
• Supporting customer acquisition and paid media performance analysis
• Building and refining customer segments and audience strategies
• Identifying opportunities to improve retention, frequency and customer lifetime value
• Designing, running and evaluating experiments and testing frameworks
• Supporting incrementality and attribution analysis
• Optimising customer lifecycle and welcome journey programmes
• Partnering with marketing stakeholders to turn insight into action
• Building analytical frameworks to improve marketing decision making

The role is weighted towards CRM and customer analytics, with exposure to paid media and broader digital channels.

Your Skills and Experience

• Strong commercial experience in marketing, CRM, customer or digital analytics
• Advanced SQL skills and confidence working with large customer and marketing datasets
• Experience analysing CRM channels such as email, SMS or direct mail
• Understanding of customer segmentation, retention and lifetime value
• Experience supporting campaign performance and marketing optimisation
• Python or R experience is beneficial
• Power BI or similar BI tool experience is advantageous
• Comfortable operating independently and owning analytical projects
• Strong communication skills with the ability to influence stakeholders through insight

What They Offer

• High visibility role with senior stakeholders
• Significant ownership and autonomy
• Opportunity to shape the future of marketing analytics
• Clear progression as the analytics function continues to grow

How to Apply
If you are a Marketing Analyst looking for a role with ownership, visibility and genuine commercial impact, apply now to find out more.

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Principal Data Architect

Location: Remote

Salary: $210,000 – $240,000 + benefits

This is a rare opportunity to shape an AI native data platform from the ground up within a scaled, well funded fintech. You will have genuine greenfield ownership, designing the foundations that enable customer facing AI products, while working in an environment that values quality, autonomy and long term impact.

The Company
They are a well established B2B fintech providing mission critical lending and decisioning software to regulated financial institutions. Backed by private equity, the business is investing heavily in R and D and is undergoing a company wide AI transformation. Operating at significant scale on highly sensitive data, they combine the stability of a mature SaaS business with the ambition and pace of a startup style AI programme.

The Role
Own the full end-to-end design of a modern, AI-native data foundation built on lakehouse principles, enabling scalable and flexible data management. This involves unifying fragmented enterprise data models into cohesive, harmonised customer and product data assets. Additionally, design and implement robust enterprise data models, along with metadata and contextual layers, ensuring that data is both accessible and interpretable for AI systems and business users alike.

• Define data layers, governance, lineage, sensitivity classification and access controls for regulated financial data.
• Build customer 360 views and master data capabilities to support analytics, AI agents and LLM driven use cases.
• Lead data ingestion and mapping strategies, including batch, streaming and CDC pipelines.
• Work as a hands on individual contributor, influencing engineering, product and leadership teams without direct authority.
• Enable AI workspaces and data products that support customer facing AI experiences.

Your Skills and Experience

• Strong commercial experience as a Data Architect or Principal Data Engineer within FinTech or SaaS.
• Deep expertise in data architecture, enterprise data modelling and AI ready data platforms.
• Hands on experience with Databricks, PySpark and Azure based lakehouse architectures.
• Proven background in data governance, metadata management and regulatory compliance.
• Experience designing dimensional models and modern data layers for analytical and operational use.
• Exposure to Informatica or similar enterprise ingestion and integration tooling.
• Confidence working with complex, sensitive financial data in regulated environments.
• Must have eligibility to work in the U

What They Offer

• Greenfield ownership of a strategic AI native data platform.
• Direct access to senior leadership and influence over long term data and AI strategy.
• The chance to build data products that directly power next generation AI capabilities.

How to Apply
If you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who’d be a great fit.

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Senior AI Platform Engineer
UK Remote | £95,000 to £130,000 plus stock options

This is a rare opportunity to take real ownership of an AI platform at a pivotal moment. You will help shape how AI is embedded into a modern SaaS product, building systems that move beyond prototypes into reliable, production-ready features used by teams every day. If you enjoy autonomy, product thinking and seeing your work land in the real world, this role offers genuine impact.

The Company
They are a remote-first SaaS business building a platform that helps product teams document, scale and govern their design systems. Used by design and engineering teams to reduce duplication and improve collaboration, the product sits at the intersection of design, code and documentation. As software development rapidly shifts towards AI-assisted workflows, the company is investing heavily in agentic and AI-driven capabilities to power the next phase of growth.

The Role
You will operate as a senior individual contributor, embedded within cross-functional product squads and owning AI-driven features end to end.

• Design and build agentic workflows that react to changes in codebases, documentation and design tools
• Develop orchestration layers that turn structured and unstructured inputs into reusable platform capabilities
• Build reliable, production-grade AI features using modern LLM frameworks and tooling
• Work across frontend, backend and AI platform layers to deliver cohesive, high-quality solutions
• Collaborate closely with product and design to ensure features are intuitive, valuable and user-focused
• Take responsibility from early discovery through to deployment and iteration

Your Skills & Experience
You are a product-minded engineer who enjoys building platforms that scale.

• Strong experience building and shipping AI-powered systems in production environments
• Hands-on experience with LLM frameworks, retrieval systems and agentic workflows
• Full stack engineering capability across frontend, backend and platform layers
• Strong React knowledge with modern patterns and a pragmatic engineering mindset
• Comfort working in fast-moving environments with ambiguity and long-term ownership

Experience with cloud platforms, deployment workflows or platform engineering is beneficial but not essential.

What They Offer

• Salary up to £130,000 plus stock options
• Fully remote working across the UK
• 4 to 6 fully expensed team meetups per year in London
• High trust environment with a strong focus on quality, ownership and thoughtful engineering
• The chance to shape the future of AI-driven product development within a growing SaaS business

How to Apply
If you are excited by building real, reliable AI systems and want to own meaningful platform work in a remote-first environment, apply to find out more.

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Associate Consultant, Data Science and AI
London Victoria | £63,000 base plus benefits and up to 20% bonus

This role stands out for the breadth, pace and impact of the work. You will sit at the heart of a growing Data Science and Analytics capability, combining consulting exposure with hands-on delivery across analytics, applied data science and AI transformation. It is a chance to build solutions that are not just advised on, but designed, built and deployed into real client environments.

The Company
They are a globally recognised strategy consultancy with a strong and expanding investment in Data Science, Analytics and AI across Europe. The organisation works across a wide range of industries and is increasingly focused on delivering practical, technical solutions alongside traditional strategy work. Their Data and Analytics team collaborates closely with consultants and a digital product group to create tools and systems with long-term impact.

The Role
You will work across both client delivery and internal innovation, gaining early ownership and exposure to varied projects.

• Deliver analytics and applied data science solutions for client engagements
• Build dashboards, perform statistical analysis and develop machine learning models
• Support AI workflow automation and internal data or AI product development
• Deploy systems directly into client environments
• Contribute to stakeholder workshops, demos and problem-solving sessions
• Work across sectors including healthcare, life sciences, transport and logistics, and financial services

Your Skills & Experience
You are a pragmatic data scientist who enjoys working in consulting-style environments and turning ideas into outcomes.

• Strong commercial Python capability with solid data science and ML foundations
• Confidence communicating complex ideas clearly to non-technical audiences
• Good coding and software engineering practices
• A proactive, self-starting approach and comfort working with ambiguity
• Interest in applied AI, automation and technology-led transformation

Experience with SQL, cloud platforms, deployment, APIs or LLM-based workflows would be beneficial but is not essential.

What They Offer

• £63,000 base salary with up to 20% annual bonus
• Hybrid working from a central London office
• Early responsibility and autonomy on high-impact work
• Exposure to AI transformation and system deployment projects
• Strong learning culture with clear progression as the team continues to scale
• Supportive, high-performing and collaborative environment

How to Apply
If you are looking for a role where your data science skills influence real decisions and real systems, apply now to learn more.

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Technical Support Specialist

Netherlands, hybrid working. Salary €3,500 to €4600 per month

This role stands out for its blend of technical depth, customer impact, and long term development. You will join a collaborative support environment where complex challenges are welcomed, learning is encouraged, and your expertise directly helps organisations rely on stable, well integrated software solutions.

The Company

They are a growing software organisation delivering business critical applications to professional services and regulated environments. Their technology supports day to day operations by improving access to information, system reliability, and overall quality. The culture is open, informal, and focused on teamwork, with a strong emphasis on personal growth and knowledge sharing.

The Role

As a Technical Support Specialist, you will be a key part of a multi disciplinary support team providing advanced technical assistance and contributing to continuous product improvement. Your responsibilities will include:

• Handling complex technical support incidents through a ticketing system.
• Investigating issues related to integrations, APIs, authentication, and cloud environments.
• Supporting application and system management across internal and customer platforms.
• Contributing to customer projects such as system integrations and tailored service requests.
• Sharing customer insights with development and product teams to improve solutions.
• Working closely with colleagues while also taking ownership of issues independently.

Your Skills and Experience

To succeed in this role, you will bring:

• Strong commercial experience in technical support or application support.
• Working knowledge of SQL, REST APIs, and cloud platforms such as Microsoft Azure.
• Confidence troubleshooting integrations, data issues, and system behaviour.
• An interest in software development and the ability to quickly understand new applications.
• Clear communication skills and a customer focused mindset.
• Professional fluency in Dutch, with English capability beneficial.

What They Offer

In return, they offer:

• A competitive monthly salary between €3,500 and €5,000, with room for progression.
• Flexible working hours and the option to work partly from home.
• A home working allowance and support for your home office setup.
• Generous holiday allowance with the option to purchase additional leave.
• Profit sharing and a strong pension scheme.
• Structured onboarding, mentoring, and access to ongoing training and development.

How to Apply

If you are looking for a technical support role where your skills make a real difference and your development is taken seriously, apply now to learn more.

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Senior AI Engineer

Cambridge, MA – 4 days onsite

$200,000 – $220,000 + bonus + equity

THE COMPANY

Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring-integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.

RESPONSIBILITIES

• Model Development & Deployment – Develop, train, and deploy ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
• ML Infrastructure – Build and maintain scalable pipelines for data ingestion, feature engineering, training, and model serving on cloud platforms (e.g., AWS, GCP).
• Data Engineering – Collaborate with clinical and data teams to curate and manage high-quality, multi-modal datasets (e.g., genomics, imaging, EHRs).
• Research to Production – Turn advanced research into real-world systems, including adapting foundation models and integrating multi-modal learning into clinical workflows.
• Evaluation & Monitoring – Implement evaluation frameworks, experimentation pipelines, and monitoring tools to ensure robust, clinically reliable performance.
• Collaboration – Partner with clinicians, researchers, product managers, and engineers to align technical solutions with healthcare needs.

SKILLS AND EXPERIENCE

• MSc or PhD in computer science, machine learning, computational biology, or a related field
• Proven experience building and deploying ML models in production
• Strong Python skills and experience with frameworks like PyTorch, JAX, or TensorFlow
• Familiarity with cloud GPUs/TPUs, modern ML pipelines, and containerization (e.g., Docker)
• Solid software engineering practices (version control, testing, CI/CD, code review)
• Ability to communicate complex concepts to technical and non-technical audiences
• Experience with healthcare or biomedical data (e.g., genomics, pathology, EHRs)
• Publications or open-source contributions in relevant fields
• Startup or entrepreneurial experience, especially in fast-paced environments
• Experience building ML systems from zero to one

BENEFITS

The compensation package contains a base salary, bonus, equity 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 | AI | Deep Learning | Machine Learning | ML Engineer | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup | Engineering | End-to-end | Deployment | Container | Docker | CI/CD | CI / CD | Integration

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Senior AI Scientist

Cambridge, MA – 4 days onsite

$200,000 – $220,000 + bonus + equity

THE COMPANY

Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring-integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.

RESPONSIBILITIES

• Research Strategy & State of the Art – Stay current with advances in AI, genomics, and oncology, identifying high-impact opportunities and shaping the research roadmap.
• Model Development – Design, train, and evaluate ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
• Publications & Scientific Communication – Contribute to peer-reviewed publications, conference papers, and technical reports; engage with academic and research communities.
• Research to Production – Collaborate with engineering teams to bring research into production, including adapting foundation models and integrating multi-modal approaches into clinical workflows.
• Evaluation & Rigor – Develop robust experimental frameworks and validation protocols to ensure scientific integrity and clinical reliability.
• Collaboration – Work cross-functionally with clinicians, researchers, product managers, and engineers to align research initiatives with clinical and product priorities.

SKILLS AND EXPERIENCE

• PhD in machine learning, computational biology, bioinformatics, or a related field
• Strong publication record in applied AI and/or AI in healthcare or biology
• Hands-on experience building and evaluating ML models; proficiency in Python and frameworks like PyTorch, JAX, or TensorFlow
• Familiarity with cloud-based accelerators (GPU/TPU) and modern ML pipelines
• Solid software engineering practices (version control, testing, code review)
• Clear scientific communication skills across technical and clinical audiences
• Experience with biomedical data (e.g., genomics, pathology, EHRs)
• Track record of translating research into real-world impact
• Startup or entrepreneurial experience, especially building systems from zero to one

BENEFITS

The compensation package contains a base salary, bonus, equity 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 | AI | Deep Learning | Machine Learning | ML Scientist | Research | Applied Research | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup

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FORWARD DEPLOYED ENGINEER – AI / PRODUCT

SAN FRANCISCO, CA (HYBRID)

$200K – $250K BASE + BONUS + EQUITY

The Opportunity

Join a fast-growing AI company building the future of digital commerce. We’re looking for engineers who like solving real business problems, working directly with customers, and shipping solutions fast.

This is a high-impact role where you’ll take ideas from 0 → working product in days.

What You’ll Do

• Work directly with customers to understand problems
• Rapidly build AI-powered prototypes (days, not months)
• Turn winning ideas into scalable product features
• Collaborate across engineering, product, and go-to-market teams

What We’re Looking For

• ~5+ years engineering experience (flex for standout candidates)
• Strong builder mindset – fast, scrappy, independent
• Comfortable with ambiguity and customer-facing work
• Experience using AI tools / LLMs in development
• Strong product intuition (you know what actually moves the needle)

Why This Role

• Build real solutions that drive revenue for top brands
• Work at the cutting edge of AI + product development
• High ownership, high visibility, fast-paced environment
• Excellent comp + meaningful equity upside

If you like moving fast, owning problems end-to-end, and building with AI – this role is built for you.

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PRINCIPAL SOFTWARE ENGINEER – GENAI & PRODUCT ARCHITECT

$280K-$375K BASE + BONUS + EQUITY

HYBRID – BAY AREA (3 DAYS/WEEK)

The Opportunity

Join a profitable, fast-growing platform in a specialized, mission-driven domain as a founding-level engineer working directly with the CTO.

This is a hands-on builder role – designing systems from scratch, shipping quickly, and bringing AI-powered ideas to production.

What You’ll Do

• Build GenAI and agentic workflows on top of proprietary datasets
• Design and ship end-to-end features (backend + frontend)
• Develop AI-driven systems for search, personalization, and recommendations
• Own growth and engagement systems (e.g., email, targeting, experimentation)
• Prototype new ideas, test with real users, and iterate rapidly
• Help define architecture and technical direction

Tech Stack

• Python, Django
• React (TypeScript/JavaScript)
• AWS
• PostgreSQL
• LLMs / AI tooling (OpenAI or similar)

What They’re Looking For

• 6-10+ years of engineering experience (Staff/Principal level)
• Strong Python backend + React frontend skills
• Experience building scalable systems on AWS
• Exposure to AI/LLMs or data-driven products
• Builder mindset – hands-on, fast-moving, comfortable with ambiguity

Why This Role

• Founding engineer impact on new AI initiatives
• Direct collaboration with CTO and senior leadership
• Profitable company with strong growth
• High ownership, fast iteration, real user impact

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ASSOCIATE DIRECTOR, CDP & DATA ACTIVATION

$140,000 – $160,000 BASE SALARY

UNITED STATES – REMOTE

THE COMPANY

A fast-growing digital consultancy partnering with leading consumer brands to drive data-led growth.

• Specializes in CRM, CDP strategy, and data activation
• Deep expertise in composable MarTech ecosystems
• Clients across ecommerce, retail, travel, and lifestyle
• Blends strategic consulting with hands-on execution
• Collaborative, high-visibility, client-facing environment

THE ROLE

As Associate Director, CDP & Data Activation, you’ll sit at the intersection of data, technology, and client strategy-designing and activating modern customer data ecosystems.

A highly technical, hands-on role with strong client exposure.

• Lead CDP strategy and implementation across engagements
• Advise on platform selection and architecture design
• Work directly within CDP and activation tools
• Translate technical concepts for senior stakeholders
• Build and present roadmaps and client deliverables
• Support pitches and influence client decisions
• Partner with engineering and data teams
• Mentor junior team members

YOUR SKILLS AND EXPERIENCE

5-8 years in data, MarTech, or CDP within a consulting or agency environment

Core Expertise:

• CDP strategy, activation, and implementation
• Composable architecture and MarTech ecosystems
• Client-facing consulting and stakeholder management

Technical Skills:

• Adobe Real-Time CDP (required)
• Segment or mParticle
• Reverse ETL tools (Hightouch, Census, RudderStack)
• Strong SQL
• Snowflake or BigQuery
• Modern data infrastructure knowledge

Additional:

• Experience in B2C (ecommerce/retail preferred)
• Exposure to AI-driven workflows
• Strong communication and presentation skills

THE BENEFITS

• $140K – $160K base
• Hybrid flexibility (2 days onsite if local)
• Minimal travel
• Clear path to Director
• High client exposure and impact
• Work with cutting-edge CDP technologies

WHY THIS ROLE

This is more than implementation-you’ll shape how companies leverage customer data.

A unique blend of technical depth and client strategy, with clear growth into leadership.

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BUSINESS INTELLIGENCE MANAGER

LIVERPOOL STREET, LONDON/ HYBRID

UP TO £100,000

OVERVIEW

An exciting opportunity for a BI Manager to join a fast-growing, private equity-backed retail business undergoing major digital and data transformation.

This is a hands-on BI role with strong stakeholder engagement, working across multiple international markets to improve reporting, self-service analytics, and commercial insight.

THE COMPANY

The business is a high-growth international retail organisation with significant investment in data, digital, analytics, and AI. Analytics is central to the company’s growth strategy, with an established and award-winning data function already in place.

THE ROLE

You will act as the key link between market teams and technical teams, translating business needs into scalable BI solutions.

Responsibilities include:

• Owning Power BI datasets, semantic models, DAX, and data models
• Building interim reporting from Databricks where required
• Consolidating dashboards into standardised Power BI apps
• Defining core KPIs across markets
• Supporting self-service BI adoption
• Working closely with senior stakeholders and international teams

SKILLS AND EXPERIENCE

• Strong SQL skills
• Strong Power BI experience, including DAX, datasets, and modelling
• Experience with Databricks or similar platforms
• Understanding of ETL and data warehousing concepts
• Excellent communication and stakeholder management skills
• Ability to work hands-on while influencing BI standards

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