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Senior AI Product Engineer II

$192,000-$249,000 + Equity

3 days/week on-site

Overview

A fast-growing SaaS organization is seeking a Senior AI Product Engineer to develop and deliver AI-powered product experiences. This role focuses on transforming large language model (LLM) capabilities, retrieval systems, and agent-based workflows into intuitive, production-ready customer features.
The ideal candidate combines strong full-stack engineering expertise with practical experience building AI applications. You will work closely with product, design, and AI specialists to create scalable, user-centric solutions that improve complex business workflows through intelligent automation.

Key Responsibilities

• Design, build, and maintain AI-powered product features across the full stack using modern frontend and backend technologies.
• Develop responsive user interfaces that support real-time and streaming AI interactions.
• Integrate AI services, orchestration layers, retrieval systems, and agent workflows into customer-facing experiences.
• Collaborate with AI and machine learning teams to define APIs, output formats, and user interaction patterns.
• Translate sophisticated AI capabilities into practical, intuitive workflows for end users.
• Identify and improve areas where model outputs create usability challenges or inconsistent experiences.
• Build feedback mechanisms that capture user sentiment and output-quality signals to support continuous improvement.
• Implement observability and analytics for AI features, including performance, engagement, completion rates, and user adoption metrics.
• Create reusable components, state-management patterns, and frontend frameworks that accelerate future AI feature development.
• Develop and maintain automated testing strategies across frontend, backend, and AI-enabled workflows.
• Participate in architecture discussions, design reviews, and technical mentorship activities.

Required Qualifications

Experience

• 7+ years of professional software engineering experience delivering production-grade applications.
• 2+ years of experience building AI-enabled product features.

Frontend

• Strong expertise in React and TypeScript.
• Experience building highly interactive user interfaces that manage asynchronous and real-time data.
• Knowledge of modern frontend architecture and state management patterns.

Backend

• Strong proficiency in Python, Node.js, and TypeScript.
• Experience designing and consuming APIs for AI platforms and distributed services.

AI & Machine Learning Applications

• Hands-on experience working with commercial LLM platforms and AI APIs.
• Strong understanding of:
  • Prompt engineering
  • Context management
  • Retrieval-Augmented Generation (RAG)
  • Evaluation and quality measurement frameworks
  • Structured outputs and response validation
• Familiarity with agent orchestration frameworks and multi-step AI workflows.

Real-Time Systems

• Experience implementing streaming architectures using technologies such as:
  • Server-Sent Events (SSE)
  • WebSockets
  • Streaming HTTP responses

Product & Collaboration

• Strong product mindset with a focus on usability and customer outcomes.
• Experience working cross-functionally with engineering, product management, design, and AI/ML teams.
• Ability to thrive in fast-paced environments with evolving requirements.

Preferred Qualifications

• Experience in governance, risk, compliance, security, audit, or other documentation-intensive enterprise domains.
• Experience with Model Context Protocol (MCP) or similar AI tool-use standards.
• Exposure to retrieval system design and debugging retrieval-quality issues.
• Experience creating review, annotation, or quality-feedback tooling for AI-generated outputs.
• Prior experience establishing engineering standards and mentoring team members.

Work Model / Location / Engagement Details

• Full-time position.
• Hybrid work environment with a combination of in-office collaboration and flexible remote work.
• High degree of cross-functional interaction with product, engineering, design, and AI teams.
• Opportunity to influence both product direction and AI feature strategy within a rapidly scaling organization.

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Product Data Scientist

Hybrid – Sheffield (1x day per week)

£50,000 – £60,000

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You’ll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions.

The Company

They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value.

The Role

You will:

• Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation.
• Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour.
• Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling.
• Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives.
• Translate business questions into structured analytical approaches and actionable recommendations.
• Partner closely with engineering and data teams to define metrics and improve data models.
• Design and maintain dashboards, reports, and KPI frameworks for business stakeholders.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Support the adoption of data-driven decision making across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional.
• Advanced SQL skills and experience working with cloud-based data warehouse environments.
• Strong Python or R capabilities for data analysis, statistical modelling, and machine learning.
• Experience building predictive models and applying analytical techniques to solve business problems.
• Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar.
• Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions.
• Experience working with modern data platforms and analytics engineering environments is beneficial.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working arrangement based in Sheffield.
• Opportunity to influence product and business strategy through data.
• Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools.
• A collaborative environment with strong cross-functional partnership.
• Clear opportunities for professional development and career progression as the data function continues to grow.

How to Apply

Register your interest today to learn more about this Product Data Scientist opportunity in Sheffield and discuss how your experience aligns with the role.

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Senior Pricing Analyst
Hybrid – Leicester (1x day per week)
£45,000 – £60,000 + bonus

Are you a commercially minded analyst looking to make a tangible impact through data-driven pricing decisions? This is an excellent opportunity to join a well-established organisation that is investing heavily in its analytics capabilities and offering genuine ownership, visibility, and career development within a high-performing team.

The Company
They are a forward-thinking organisation that places data and analytics at the centre of business decision-making. With continued investment in technology, pricing capability, and innovation, they are focused on delivering fair customer outcomes while driving sustainable business growth.
They foster a collaborative environment where analytical expertise is valued, new ideas are encouraged, and individuals have the opportunity to influence strategic decisions. This is an exciting time to join a growing team that is committed to continuous improvement and professional development.

The Role
As a Senior Pricing Analyst, you will play a key role in developing and enhancing pricing strategies that improve commercial performance and support business objectives.
Key responsibilities include:

• Designing and refining pricing segmentation strategies across products and customer groups
• Analysing portfolio performance to identify pricing opportunities, trends, and emerging risks
• Developing monitoring frameworks to assess pricing effectiveness and portfolio health
• Delivering actionable insights that improve pricing accuracy and commercial outcomes
• Supporting testing and optimisation initiatives to enhance pricing performance
• Working closely with underwriting, product, commercial, and analytics teams to influence business decisions
• Communicating complex analytical findings to both technical and non-technical stakeholders
• Contributing to the ongoing development of pricing and analytics capabilities across the business

Your Skills & Experience

• Strong analytical experience within pricing, modelling, forecasting, or quantitative analysis
• Understanding of insurance pricing principles, segmentation methodologies, or similar commercial analytics functions
• Experience using analytical tools such as Python, SQL, R, SAS, or comparable technologies
• Ability to interpret complex datasets and translate findings into clear business recommendations
• Strong stakeholder management and communication skills
• Commercial awareness and a data-driven approach to problem solving
• Proactive mindset with the ability to manage competing priorities in a fast-paced environment

What They Offer

• Salary of £45,000 – £60,000
• Hybrid working model with just 1 day per week in the Leicester office
• Performance-related bonus
• Generous pension contribution
• Life assurance and income protection
• Healthcare and wellbeing support
• Flexible benefits package
• Excellent learning and development opportunities
• Clear progression routes within a growing analytics function
• Supportive and collaborative working environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity and would like to work in a business where analytics plays a key strategic role, apply today to learn more.

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Associate Director Qualitative Research

Hybrid – London

£60,000 – £70,000 + Benefits

This is an excellent opportunity for an experienced qualitative research leader to take ownership of a high-performing client services team within a global healthcare insights environment. You will play a key role in delivering complex research projects, developing talent, strengthening client relationships, and driving operational excellence across a growing function.

The Company

They are a global research and insights organisation supporting leading healthcare and life sciences businesses with high-quality market research solutions. Operating internationally, they deliver qualitative and quantitative research that helps clients make informed strategic decisions. With a strong focus on innovation, quality, and collaboration, they have built an excellent reputation for delivering impactful insights and exceptional client service.

The Role

As Associate Director Qualitative Research, you will lead a team responsible for delivering complex qualitative market research projects from brief to completion.

Responsibilities include:

* Leading, mentoring, and developing a client services team, supporting performance and career growth

* Managing project delivery, ensuring studies are completed on time, within budget, and to a high standard

* Acting as a senior escalation point for project and client challenges, identifying solutions and driving successful outcomes

* Building strong relationships with clients and internal stakeholders to enhance service delivery

* Monitoring team productivity, project quality, and commercial performance

* Collaborating with senior leadership to improve processes, systems, and operational efficiency

* Supporting the implementation of best practices across client services and project management functions

* Overseeing onboarding, training, and continuous development initiatives within the team

* Partnering with commercial teams to ensure a seamless and positive client experience

Your Skills & Experience

* Strong commercial experience within qualitative market research

* Previous experience leading, coaching, or developing research teams

* Expertise in managing multiple research projects within a fast-paced environment

* Experience working with healthcare, pharmaceutical, or life sciences research projects

* Strong stakeholder management and client relationship skills

* Excellent project management, organisational, and problem-solving capabilities

* Strong written and verbal communication skills

* Advanced Microsoft Office skills, including Excel, PowerPoint, Outlook, and Word

* Ability to balance strategic leadership with hands-on project oversight

What They Offer

* Salary of £60,000 – £70,000depending on experience

* Hybrid working model based in London

* Competitive benefits package

* Exposure to international, high-profile healthcare research programmes

* Clear opportunities for progression into more senior leadership positions

* Collaborative and supportive culture focused on professional development

How to Apply

If you are an experienced qualitative research leader looking for your next challenge, apply now to discuss this Associate Director Qualitative Research opportunity in confidence.

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Customer Insight Analyst

£40,000

Hybrid – Leeds (2x days per week)

Looking for a role where you can combine marketing analytics, customer insights, and data visualisation to influence business decisions? This is an excellent opportunity to join a growing data function where your analysis will directly shape marketing performance, customer strategy, and commercial outcomes.

The Company

They are a well-established organisation with a specialist data and analytics team at the centre of the business. Working across a diverse portfolio of projects, they help stakeholders unlock value from customer and marketing data through advanced analytics and insight-led decision making. They foster a collaborative culture where analytical thinking, innovation, and professional development are encouraged. This role offers exposure to a wide range of industries, datasets, and business challenges.

The Role

You will work across customer and marketing analytics projects, helping stakeholders understand behaviour, optimise performance, and make data-driven decisions.

Responsibilities include:

• Analysing customer behaviour, loyalty, retention, and purchasing trends
• Evaluating marketing effectiveness across digital and paid media channels
• Developing dashboards and data visualisations using Power BI, Tableau, Looker, or similar tools
• Conducting detailed analysis to identify trends, opportunities, and performance drivers
• Presenting insights and recommendations to stakeholders in a clear and engaging way
• Building reports and presentations that translate complex data into actionable business outcomes
• Supporting wider analytics initiatives, strategic projects, and product development activities
• Working with both internal teams and external stakeholders to deliver impactful insight-led solutions

Your Skills & Experience

• Strong commercial experience within marketing analytics and customer analytics
• Advanced Excel skills, including data manipulation, analysis, and pivot tables
• Experience using Python for data analysis and insight generation
• Strong dashboard development and data visualisation capabilities
• Experience presenting insights through PowerPoint and stakeholder-facing presentations
• Understanding of marketing KPIs such as ROAS, CTR, CPL, conversion rate, and campaign performance metrics
• Ability to identify patterns in data and translate findings into strategic recommendations
• Strong communication skills with the ability to explain technical concepts to non-technical audiences
• Exposure to tools such as Google Ads, Meta, LinkedIn, GA4, Adobe Analytics, DV360, or similar marketing platforms would be beneficial
• A curious, problem-solving mindset with the ability to manage multiple projects effectively

What They Offer

• Competitive salary
• Hybrid working model
• Private health insurance
• Life assurance
• Company pension scheme
• 25 days annual leave
• Paid volunteering day each year
• Cycle to work scheme
• Season ticket loan
• Clear opportunities for career development within a growing analytics function
• Exposure to a broad range of analytical challenges and stakeholders

How to Apply

If you are passionate about marketing analytics, customer insights, and turning data into meaningful business impact, apply today to discuss this opportunity in confidence.

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