data & AI
Diversity Report

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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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DATA ENGINEER

£45,000-50,000 + BENEFITS

LIVERPOOL (Hybrid)

This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure.

THE COMPANY:

Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads.

THE ROLE:

A Data Engineer will need to:

• Work closely with stakeholders across the business
• Design and implement ETL pipelines
• Managing data infrastructure

YOUR SKILLS AND EXPERIENCE:

A successful Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with a Cloud
• Data modelling/warehousing experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £50,000 On top of the salary there are some fantastic extra benefits.

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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Senior Full Stack / Front-End Engineer (TypeScript, AI Agents)

Location: Remote / Hybrid

Type: Full-time

Level: Senior

The Role

The company is seeking a Senior Full Stack / Front-End Engineer to help build intelligent, AI-powered products. The engineer will focus on delivering high-quality user interfaces while working across the stack to integrate AI agents and LLM-driven systems. This role suits someone who values frontend craftsmanship, system thinking, and product ownership.

Responsibilities

• Design, build, and maintain scalable front-end applications using TypeScript
• Develop full-stack features that integrate AI agents, LLM APIs, and external services
• Collaborate closely with product, design, and AI teams to translate complex AI behaviour into intuitive user experiences
• Implement robust application architecture, state management, and data flows
• Ensure performance, accessibility, and maintainability across the codebase
• Participate in technical decision-making and contribute to engineering best practices
• Mentor and support other engineers as the team grows

Requirements

• 5+ years of experience as a Full Stack or Front-End Engineer
• Strong proficiency in TypeScript and modern JavaScript
• Extensive experience with frameworks such as React, Next.js, or similar
• Backend experience using Node.js, Python, or equivalent
• Experience integrating REST and/or GraphQL APIs
• Strong understanding of frontend architecture, performance, and UX principles
• Ability to work effectively in fast-paced, ambiguous environments

Desirable Experience

• Hands-on experience with AI agents, LLMs, or prompt-based systems
• Familiarity with streaming responses, tool calling, or multi-step agent workflows
• Experience working with real-time or event-driven systems
• Exposure to design systems, accessibility standards, or data-heavy interfaces
• Previous experience in startup or high-ownership teams

What the Company Offers

• The opportunity to work on products at the forefront of AI and user experience
• High-impact role with ownership over core features and technical direction
• Collaborative, low-ego engineering culture
• Competitive salary and equity package
• Flexible working arrangements

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DATA GOVERNANCE MANAGER

UP TO £55,000 + BENEFITS

HYBRID – West Midlands

If you’re a hands-on Data Governance professional looking to build out a function from the ground up in a collaborative, regulated environment – this could be your next big step.

THE COMPANY:

I’m working with a growing financial services business that’s investing heavily in its data function. With a lean structure, a clear mandate, and strong backing, they’re rebuilding their Data Governance capability – and looking for someone to lead from the front.

You’ll join a business where everyone pitches in, leadership is accessible, and your voice will genuinely shape the way data is managed and protected.

THE ROLE:

As Data Governance Manager, you’ll be the key figure in adapting, embedding, and owning governance frameworks across the business. You’ll support privacy workflows, drive best practices, and work closely with teams across customer, operations, and data science to get things done.

Key responsibilities include:

• Lead and evolve data governance processes and frameworks
• Support privacy management and internal assessment reviews
• Perform gap analysis and implement actionable improvements
• Build relationships with cross-functional stakeholders and project teams

YOUR SKILLS AND EXPERIENCE:

A successful Data Governance Manager will bring:

• Experience within financial services or a heavily regulated industry
• Strong understanding of governance, data privacy, and risk frameworks
• Confident communicator with the ability to build stakeholder trust
• Previous line management or mentoring experience

Bonus points for:

• SQL or technical literacy to support data discussions
• Experience with enterprise data governance/privacy tools
• Excel, PowerPoint, and data visualisation exposure

THE BENEFITS:

You’ll receive a salary of up to £55,000 depending on experience, plus a competitive 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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SENIOR CREDIT RISK COLLECTIONS ANALYST

£80,000

LONDON

THE COMPANY

This client is a growing FinTech who are growing out their Credit Risk team. This is an exciting opportunity to take leadership over their collections portfolio, with remit over strategy, portfolio analytics and operations.

THE ROLE

• Developing and building out their collections strategy and wider function
• Assessing existing collections policies and customer strategies to enhance performance
• Work and communicate closely with senior members and other teams within the business, including operations and underwriting
• Building out MI and wider reporting frameworks to monitor collections strategies and performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience in driving collections strategies within financial services
• Ideal to have developed collection strategies to enhance debt collection, reduce losses etc
• Experience using SQL for data analysis is essential
• Python exposure would be desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Pension contribution scheme
• Health insurance
• Company bonus

HOW TO APPLY

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

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Senior Data Engineer

Salary: £95,000

Location: Remote First (London Office)

Join a team where data engineering isn’t just support, it’s the engine. Build the models and pipelines that fuel innovation, accelerate growth, and elevate how the whole company thinks about data.

The Opportunity

This opportunity puts you at the centre of shaping the company’s data landscape, giving you the ability to influence how teams access, understand, and trust their data. You’ll take ownership of high-impact initiatives that drive better decision-making and unlock meaningful insights across the business.

As a senior contributor, you’ll help define the long-term vision for data, ensuring it grows in a scalable, reliable, and forward-thinking direction. You’ll mentor and support other engineers, fostering a culture of collaboration, learning, and empowerment. Ultimately, this role offers the chance to make a visible, lasting mark by elevating the organisation’s data capabilities and enabling teams to work smarter and more independently.

The Role & Responsibilities

A Senior Data Engineer is responsible for designing and maintaining high-quality, production-ready data pipelines that serve a variety of internal teams. They build and optimise central data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker.

They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. Senior Data Engineers also mentor junior engineers and help promote a strong, collaborative, self-service data culture.

Interview Process

1. Introductory Conversation – 1 Hour
2. Pair Programming -1 Hour
3. Code Based Task – 1 Hour
4. Culture Fit

Join as a Senior Data Engineer to build robust data pipelines, shape high-quality models with modern tech, and lead impactful engineering initiatives that empower data-driven decision-making, apply now.

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Digital Product Insights Lead – Up to £80,000 + bonuses

Hybrid (3 days office-based – South East England / London area)
Full private medical | Modern data stack | AI-driven transformation

Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy?

Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision-making across its digital channels, products, and customer journeys.

The Role

As the Digital Product Insights Lead, you’ll head up a small, talented team of analysts to deliver predictive and prescriptive insights that directly shape business strategy.
You’ll focus on understanding user behaviour across web and app journeys, optimising funnels, forecasting sales, and identifying retention opportunities through data.

This is a leadership role that combines strategic direction with enough hands-on capability to guide your team technically and commercially.

What You’ll Be Doing

• Lead insight generation across digital products, channels, and journeys.

• Deliver actionable, predictive insights to influence key business decisions.

• Oversee funnel and conversion analysis, forecasting, and behavioural segmentation.

• Analyse mobile app usage and retention, driving engagement and lifetime value.

• Partner with Data Science and Engineering teams to ensure data quality and readiness.

• Coach and mentor a team of analysts, fostering curiosity and innovation.

• Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes.

Tech Environment

• Tools: SQL, GA4, BigQuery

• Languages: Python, R

• Environment: Modern data infrastructure with dedicated tagging and engineering support.

• No tagging work required – focus purely on insights and impact.

About You

• 5+ years’ experience in analytics, insights, or data science roles.

• Strong background in digital analytics, predictive modelling, or behavioural insights.

• Proven ability to translate data outputs into business actions.

• Experienced people leader with a track record of motivating high-performing teams.

• Energetic, proactive communicator who can engage technical and non-technical audiences alike.

• Passionate about leveraging AI and data to transform digital experiences.

Why Apply?

• Be at the forefront of an organisation investing heavily in AI and data innovation.

• Work within a modern analytics function with strong leadership and vision.

• Enjoy a financially secure, growing business with significant data investment.

• Play a pivotal role in shaping the next phase of digital and AI-driven insights.

Timeline: Interviews underway – target hire by end of January.

Package: £80,000 + up to 20% bonus + car allowance + full private medical.

If you’re ready to lead a team that turns digital data into real commercial impact, apply today!

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Senior MLOps Engineer

Chicago, IL

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

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI applications. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for machine learning model deployment and scalability for the company’s agentic AI product
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior MLOps Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice or chatbot systems
• Experience working in a scaling startup is highly preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering background preferred
• Experience in settings wearing multiple hats
• Domain experience in heathcare, health-tech, med-tech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $160,000-180,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient

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