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Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

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Lead AI Engineer

$160,000-180,000 base salary + bonus

Minneapolis, MN – 3 days/week onsite

THE COMPANY

Harnham is working with a global technology and information services organization that develops advanced software solutions for professionals operating in highly regulated and data-intensive industries. With significant investment in artificial intelligence and emerging technologies, the business is building next-generation intelligent platforms that help customers uncover insights, make critical decisions, and improve operational efficiency at scale.

This is an opportunity to join a highly innovative engineering team at the forefront of AI adoption, where you will help shape enterprise-grade solutions leveraging Generative AI, RAG architectures, autonomous agents, and cloud-native technologies.

RESPONSIBILITIES

• Lead the design and development of enterprise-scale AI applications, including RAG solutions, intelligent agents, and multi-stage AI pipelines.
• Architect and deliver full-stack solutions spanning AI orchestration layers, APIs, microservices, data services, and modern web applications.
• Drive technical strategy for AI initiatives, evaluating emerging technologies and translating research into practical business applications.
• Establish best practices for MLOps and LLMOps, including model deployment, monitoring, governance, and lifecycle management.
• Mentor and support engineering teams, providing technical leadership and guidance across complex software projects.
• Collaborate closely with product, design, research, and engineering stakeholders to deliver scalable, secure, and high-performing AI-powered products.
• Champion observability, testing, security, compliance, and responsible AI practices across the software development lifecycle.
• Optimize AI solutions for performance, cost efficiency, reliability, and user experience within large-scale production environments.

SKILLS AND EXPERIENCE

Required

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience (Master’s degree preferred).
• 8+ years of software engineering experience, including at least 4 years in senior or lead engineering roles focused on AI/ML solutions.
• Proven experience designing and delivering Generative AI, LLM, RAG, or agent-based applications in production environments.
• Strong expertise in backend development, APIs, distributed systems, and cloud-native application architecture.
• Expert-level proficiency in object-oriented programming and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong experience with AWS and modern infrastructure tooling including Docker, Kubernetes, and Terraform.
• Demonstrated ability to integrate AI models into enterprise-scale systems through APIs, data pipelines, and microservices.
• Excellent communication, leadership, stakeholder management, and mentoring skills.

Preferred

• Experience leading teams building AI-driven platforms or enterprise AI integrations.
• Knowledge of vector databases, embeddings, semantic search, and information retrieval technologies.
• Experience working within regulated sectors such as legal, financial, risk, compliance, or investigative services.
• Understanding of AI governance, model risk management, and regulatory compliance frameworks.
• Record of successful AI product launches, technical presentations, publications, patents, or industry speaking engagements.

BENEFITS

• Opportunity to lead cutting-edge AI initiatives with significant business impact.
• Exposure to large-scale enterprise AI platforms and modern cloud technologies.
• Collaborative and innovation-focused engineering culture.
• Ongoing professional development, learning, and industry engagement opportunities.
• Comprehensive employee benefits package and flexible working arrangements.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Lead Software Engineer AI | Principal Software Engineer | Generative AI | LLM | Large Language Models | RAG | Retrieval Augmented Generation | Agentic AI | AI Agents | Machine Learning | MLOps | LLMOps | AWS | Kubernetes | Docker | Terraform | Python | PyTorch | TensorFlow | JAX | Microservices | APIs | Distributed Systems | Vector Databases | Embeddings | Semantic Search | Cloud Architecture | Enterprise Software | Full Stack Engineering | Artificial Intelligence Leadership

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Senior Data Scientist

£70,000-£80,000 + £5,000 Car Allowance + Bonus

London(Hybrid – 2x Days a Week in Office)

If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK’s strongest data science functions!

The Company

This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow rapidly and is looking to expand its Alternative Pricing Product team with a Senior Data Scientist. You’ll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production!

The Role

Reporting into the Head of Pricing, you’ll join a specialist team responsible for developing next-generation pricing models that challenge conventional approaches. Working across large and complex datasets, you’ll build predictive machine learning models using alternative data sources to improve customer pricing and risk selection.

Projects include:

• Building innovative predictive machine learning models
• Developing pricing and customer selection models
• Exploring alternative data sources to improve pricing accuracy
• Geospatial and footprint modelling
• Residual and claims modelling
• Working with messy, high-volume datasets to uncover commercial insights
• Deploying models using Azure Machine Learning
• Mentoring junior team members and helping shape best practice across the team

This is an opportunity to influence products that impact millions of customers whilst working on genuinely novel modelling challenges.

Your Skills & Experience

• Experience building machine learning models
• Strong Python skills
• Experience developing predictive models within commercial environments
• Experience working with large, complex datasets
• Experience with cloud-based ML platforms (Azure ML preferred)
• The ability to communicate technical findings to non-technical stakeholders
• Experience mentoring or supporting more junior data scientists is advantageous

Experience within insurance or financial services would be beneficial, although candidates from other highly analytical industries are also encouraged to apply.

The Benefits

• £70,000-£80,000 salary
• £5,000 annual car allowance
• Bonus

How to Apply

To register your interest in this opportunity, please send your CV via the application link

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Staff / Principal Software Engineer

AI, Platform Engineering & Growth Systems

Hybrid | Oakland, CA (3 days/week) – Relocation is not offered

Compensation: $280,000 – $400,000 Base + Bonus + Equity

A profitable, rapidly growing technology company operating one of the largest professional knowledge-sharing platforms in the healthcare industry is seeking a Staff or Principal Engineer to join as a key early technical partner to an incoming CTO.

This is a rare opportunity to work directly with executive leadership and help define the next generation of AI-powered products used by hundreds of thousands of professionals nationwide. If you thrive in environments where you can move from idea to production quickly, influence technical strategy, and build systems that create measurable business impact, we’d love to talk.

Why This Opportunity Stands Out

• Direct partnership with a newly hired CTO
• Founding-level engineering impact without startup risk
• Profitable business with strong revenue growth
• Highly visible role influencing product and technical direction
• Extensive ownership across architecture, product validation, and execution
• Opportunity to build AI-powered systems from the ground up
• Competitive compensation package with meaningful equity participation

What You’ll Be Doing

This role is ideal for a hands-on builder who enjoys solving ambiguous problems and creating scalable solutions from scratch.

You will:

• Design and build agentic AI workflows and intelligent automation systems
• Develop AI-powered products leveraging large-scale proprietary datasets
• Architect and implement workflow orchestration solutions
• Build personalization, engagement, and growth platforms
• Develop commercial intelligence systems that generate actionable insights from user behavior and platform activity
• Own projects from concept and prototyping through production deployment
• Partner closely with product, business stakeholders, and engineering leadership
• Collaborate with a distributed engineering organization across the U.S. and Europe
• Drive technical decision-making while remaining deeply hands-on with coding

Ideal Background

We’re looking for exceptional engineers who combine strong technical depth with a builder mentality.

Required Experience

• 10+ years of software engineering experience
• Strong backend development experience with Python
• Experience building applications using Django
• Modern frontend development experience with React
• Deep understanding of AWS cloud infrastructure
• Experience with PostgreSQL and data-intensive applications
• Hands-on experience integrating with modern AI platforms such as OpenAI
• Experience designing and delivering production-scale software systems
• Ability to navigate ambiguity and independently drive initiatives

Nice to Have

• Experience building AI agents or workflow orchestration systems
• Experience with knowledge management, search, retrieval, or recommendation platforms
• Healthcare, life sciences, or medical data experience
• Growth engineering, marketing technology, or personalization platform experience
• Track record of building products in lean, high-performing environments

What Success Looks Like

The right candidate is:

• A builder first
• Exceptionally hands-on
• Comfortable wearing multiple hats
• Strong in system design and architecture
• Equally comfortable discussing strategy and writing code
• Curious, entrepreneurial, and highly autonomous
• Able to communicate complex technical concepts clearly

Team & Culture

• Lean, high-caliber engineering organization
• Global team with collaboration across U.S. and European offices
• Hybrid work environment (Oakland office 3 days/week)
• Strong emphasis on ownership, accountability, and execution
• Fast-moving culture with limited bureaucracy

Compensation & Benefits

• Base Salary: $280,000 – $350,000+ bonus
• Equity opportunity
• Comprehensive benefits package

Interested?

If you’re a Staff or Principal Engineer looking for a rare opportunity to help shape the future of AI-enabled products while partnering directly with an executive technology leader, we’d love to connect.

Apply today for a confidential discussion.

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AI & Machine Learning Lead

Amsterdam, Netherlands | €80,000 – €110,000 base salary + bonus

This is an opportunity to take ownership of AI and machine learning strategy within a highly visible technology business. You’ll have the autonomy to shape technical direction, influence product decisions, mentor a growing team, and drive the adoption of modern AI solutions that directly impact millions of users.

The Company
They are a fast-moving digital business with a flat structure, strong technical culture, and significant market reach. Despite being relatively small in size, they operate at scale and provide a level of influence and visibility that is difficult to find in larger organisations.
The business is investing heavily in the future of AI and machine learning, with a clear ambition to evolve beyond traditional approaches and embed AI more deeply across products and services. This role will play a key part in defining that journey.

The Role
As AI & ML Lead, you will be the technical and strategic authority for machine learning and AI initiatives across the business.
Key responsibilities include:

• Leading, mentoring, and developing a team of Data Scientists
• Defining and owning the AI and machine learning strategy
• Modernising existing recommendation and search capabilities
• Evaluating emerging AI technologies and identifying opportunities for adoption
• Driving AI-first thinking across product and technology teams
• Guiding model selection, evaluation frameworks, and MLOps best practices
• Making informed build vs buy decisions for AI solutions and vendors
• Partnering closely with Product and Engineering leaders to shape roadmaps
• Identifying high-impact use cases across recommendations, search, fraud detection, and behavioural modelling
• Influencing prioritisation decisions through data-driven insights and business impact assessment
• Championing best practices for deploying and maintaining machine learning models in production

Your Skills & Experience

• Strong commercial experience designing, deploying, and scaling machine learning solutions in production environments
• Experience working on recommendation systems, search platforms, ranking models, personalisation, marketplace products, or similar challenges
• Proven ability to define technical strategy and influence business direction
• Experience leading, mentoring, or managing Data Science and Machine Learning teams
• Strong understanding of modern machine learning, MLOps, and production model lifecycle management
• Experience deploying models using modern cloud-based data and AI platforms, ideally including Databricks
• Knowledge of Generative AI, LLM applications, RAG architectures, fine-tuning, or related technologies
• Strong stakeholder management and communication skills
• Ability to work effectively in a fast-paced environment with evolving priorities

What They Offer

• €80,000 – €110,000 base salary
• Total compensation package up to approximately €90,000 – €140,000 including bonus
• Flexible working environment with an office-first culture
• Opportunity to work abroad for up to one month per year
• Relocation support and visa sponsorship available
• Direct access to senior leadership and decision-makers
• Significant ownership of AI strategy, team development, and technology direction
• Clear opportunity to shape the future structure and capability of the AI function

How to Apply
If you are an experienced AI and Machine Learning leader looking to shape strategy, build high-impact products, and drive innovation at scale, please apply today.

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Data & Insights Analyst | Consumer Analytics & AI Data | London | Up to £50,000

A fast-growing consumer data and analytics company is looking for a Data & Insights Analyst to join its London team and help transform complex behavioural data into meaningful commercial insights for global brands.

The business specialises in understanding how advertising influences real-world consumer behaviour, using a unique single-source dataset combining media exposure, digital behaviour, shopping activity and consumer journeys. More recently, they have expanded into LLM data, helping brands understand how consumers interact with AI platforms.

This is an exciting opportunity for an analyst who enjoys variety, autonomy and working at the intersection of data, research, marketing analytics and emerging technology.

The role:

• Analyse consumer behavioural data to measure advertising effectiveness and campaign impact

• Produce post-campaign analysis and client insight reports

• Translate analytical findings into clear, commercially focused PowerPoint presentations

• Develop new analytical approaches and methodologies for emerging datasets

• Work with LLM data to uncover insights into how consumers discuss brands within AI platforms

• Use LLM workflows and analytical techniques to explore new data opportunities

What we’re looking for:
✅ Strong SQL skills
✅ Excellent Excel capability
✅ Strong analytical thinking and ability to interpret data
✅ Commercial curiosity and a problem-solving mindset
✅ Ability to work independently in a fast-paced environment

Nice to have:
⭐ Data visualisation experience
⭐ Experience creating client-facing reports or presentations
⭐ Familiarity with LLMs and prompt engineering
⭐ Experience in marketing analytics, customer insights or research

About the company:
A specialist consumer analytics business helping global brands understand the impact of advertising on real-world behaviour. With a proprietary panel of around 10,000 consented users and innovative LLM datasets, the company is building new ways for brands to understand consumers across traditional digital channels and emerging AI platforms.

The team:
You’ll join a small, collaborative international team with exposure to senior stakeholders, including the CEO, Head of Data and R&D teams. This is a high-ownership role where you’ll have the opportunity to influence analytical approaches and new product development.

Ideal background:

• Around 2+ years’ experience in analytics, insights, marketing data or customer research

• Experience within a media agency, tech business, start-up or consumer insights environment

Salary: Up to £50,000
Location: London

Interested? Apply now or get in touch for more information.

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Senior AI Platform Engineer

up to £130,000 + Benefits
Remote (UK based)

This is a great opportunity to join a high‑growth organisation where you can take ownership of building an AI‑driven platform that powers next‑generation design systems and agentic workflows.

THE ROLE:

You will take ownership of building and evolving AI‑powered platform capabilities, working across product, platform, and AI layers. Key responsibilities include:

• Designing and building agentic workflows that interact with codebases, documentation, and design systems
• Developing orchestration layers and AI systems that transform structured and unstructured data into scalable capabilities
• Building reliable, production‑ready AI features using modern LLM frameworks and retrieval systems
• Creating APIs and integrations that connect AI capabilities with external tools
• Collaborating closely with product and design to deliver high‑quality, user‑focused solutions end‑to‑end

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Building production‑grade AI systems, including agent workflows and orchestration layers
• Working with LLM frameworks (e.g. LangChain or similar), retrieval systems, and AI platforms
• Full‑stack engineering across frontend, backend, and platform layers
• Strong React experience with modern patterns (hooks, component architecture)
• A product‑focused mindset with a passion for user experience and high‑quality delivery

THE BENEFITS:

You will receive a salary of up to £130,000 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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Head of Platform & Engineering

London (Hybrid, near Tower Hill)

The Company
They are a global research and insights consultancy that partners with leading brands to inform strategic decision making. By combining advanced analytics, technology, and deep market understanding, they help organisations better understand customers and expand into new markets. Their work involves processing billions of data points per project, with a growing focus on synthetic data and AI-led innovation.
You will join a specialist synthetic data team that operates at the intersection of research, machine learning, and platform engineering, building tools that are shaping the future of data-driven insights.

The Role

• Own and define the platform strategy for a large-scale synthetic data and generative AI ecosystem
• Lead and develop a cross-functional engineering team, setting technical standards and best practices
• Build a scalable, secure, and high-performing platform used across global teams
• Bridge the gap between research, machine learning, and engineering to productionise advanced AI models
• Drive adoption of MLOps best practices including CI/CD, model lifecycle management, and reproducibility
• Ensure enterprise-grade governance, security, and privacy standards are embedded in the platform

Your Skills & Experience

• Strong technical leadership experience across software engineering, data engineering, or machine learning engineering
• Proven experience building and scaling complex data or ML platforms within a product-led environment
• Deep understanding of distributed systems, platform architecture, and high-throughput data processing
• Strong experience with Python and modern data and ML ecosystems
• Hands-on experience with GCP, Kubernetes, and infrastructure as code such as Terraform
• Experience implementing MLOps frameworks and managing model pipelines in production

What They Offer

• Hybrid working with a central London office (near Tower Hill)
• Opportunity to lead a high-impact AI platform from strategy through to delivery
• A collaborative, cross-disciplinary team environment
• Strong scope for leadership growth and influence across the business

How to Apply
If you are interested in this Head of Platform & Engineering role, please apply with your CV for consideration.

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SEO / GEO Manager (Organic & AI Search)

London (Hybrid – West London)

Up to £65,000

The Opportunity

We’re partnering with a well-known retail brand looking for an SEO / GEO Manager to lead organic growth across both traditional search and emerging AI-driven discovery channels.

This is a unique opportunity to shape the future of search-owning SEO performance today while building innovative strategies for AI platforms and next-gen search experiences.

Key Responsibilities

• Own and execute the organic search strategy across e-commerce platforms
• Conduct keyword research, technical audits, and on-page optimisation
• Monitor rankings, traffic, and revenue performance to drive growth
• Develop and lead GEO (AI search) strategy across emerging platforms
• Optimise content for AI discovery, retrieval, and citation
• Collaborate with content, digital, PR, and tech teams
• Define KPIs, build dashboards, and run performance experiments
• Act as the internal expert on the future of search and organic discovery

What We’re Looking For

• 4-7+ years’ experience in SEO or organic growth roles
• Proven track record of driving traffic and revenue through SEO
• Strong technical SEO and content strategy knowledge
• Understanding or strong interest in AI search and LLM-driven discovery
• Experience in e-commerce or retail environments (preferred)
• Strong analytical mindset with testing and experimentation experience
• Confident stakeholder manager with strong communication skills
• Commercially driven with a proactive, innovative approach

Ways of Working

• Hybrid model (3 days in office)
• Cross-functional collaboration across digital, tech, and marketing
• Blend of strategic ownership and hands-on execution
• Innovation-led environment focused on future search trends

Benefits

• Competitive salary + bonus
• Flexible working approach
• Private healthcare + pension + life assurance
• Generous staff discount
• 25 days holiday + bank holidays + option to buy more
• Additional perks including gym discounts, travel loans, and retail offers
• Early finish on Fridays

How to Apply

If you’re passionate about SEO and excited by the future of AI-driven search, we’d love to hear from you.

Apply with your CV or reach out to me!

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This is an opportunity to step into a high impact SEO and GEO Manager role where you will shape how a well established consumer brand is discovered across both traditional search and AI driven platforms. You will take ownership of organic growth today while building a forward looking strategy for generative search, positioning the business at the forefront of digital discovery.

The Company
They are a recognised retailer with a strong digital presence and a clear ambition to evolve how customers find and engage with their products online. With continued investment in e commerce, data, and innovation, they are focused on building future ready marketing capabilities. The business offers a collaborative environment where ideas are encouraged and new channels are actively explored. This role sits at the centre of that transformation.

The Role
You will lead the organic search strategy across websites while developing a new approach to generative engine optimisation.

• Own and deliver the SEO strategy across multiple domains, driving traffic and revenue growth
• Conduct keyword research, technical audits, and on page optimisation
• Partner with content, digital, and engineering teams to implement best practice SEO
• Monitor rankings, site performance, and search trends to identify opportunities
• Lead the development of a GEO strategy across AI platforms such as ChatGPT, Gemini, and Perplexity
• Optimise content for AI retrieval, citation, and summarisation
• Introduce structured data and entity based strategies to improve discoverability
• Test new content formats including conversational and AI optimised outputs
• Define and track success metrics across SEO and GEO, including visibility and conversions
• Build dashboards and deliver insights using tools such as GA4 and Search Console
• Collaborate with cross functional teams and act as an internal expert on organic discovery

Your Skills and Experience

• Commercial experience in SEO or organic growth within a digital or ecommerce environment
• Proven ability to drive measurable improvements in traffic, rankings, and revenue
• Solid understanding of technical SEO, content strategy, and search performance analysis
• Knowledge of structured data, indexing, and crawl optimisation principles
• Interest in AI driven search and how large language models surface content
• Experience using SEO tools such as Screaming Frog, Ahrefs, or SEMrush
• Confident working with data, experimentation, and performance analysis
• Strong communication skills with the ability to influence stakeholders

What They Offer

• Salary up to £50,000 with a competitive benefits package
• Hybrid working with three days in a London office
• Opportunity to define and lead a new GEO capability
• Exposure to senior stakeholders and strategic decision making
• Clear progression within a growing digital and data function

How to Apply
If you are interested in this SEO and GEO Manager opportunity, please apply with your CV to be considered.

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