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AI Forward Deployed Engineer
Remote (UK) | £80,000 to £130,000 base salary

This is a rare opportunity to join an AI-first TechBio company at a pivotal stage of growth, where you will sit at the intersection of advanced machine learning, real-world deployment, and enterprise customer impact. The role is ideal for someone who enjoys solving complex technical problems in live customer environments and turning those solutions into scalable platform capabilities.

The Company

They are an AI-driven TechBio organisation focused on transforming pharmaceutical research and development. Their platform applies natural language processing, large language models, and knowledge graph technology to structure insights from vast volumes of scientific literature. Working with enterprise pharmaceutical customers globally, they enable faster and more informed drug discovery through robust, production-grade AI systems. The business operates as a fully remote organisation with a highly collaborative, cross-disciplinary team.

The Role

As an AI Forward Deployed Engineer, you will play a critical role in ensuring enterprise customers successfully integrate and deploy the company’s AI platform into their environments. You will balance hands-on customer delivery with contributions to the core engineering platform.

Key responsibilities include:

• Leading end-to-end technical delivery for enterprise customer integrations, from early trials through to production deployment
• Designing and implementing AI-driven integrations, including LLM, agent-based, and retrieval workflows
• Partnering with customer technical teams to understand requirements and deliver robust, scalable solutions
• Translating recurring customer needs into productised features within the core platform
• Collaborating closely with internal engineering, data science, and commercial teams to shape solution design and delivery

Your Skills and Experience

You will bring strong commercial experience delivering AI or machine learning systems into production, combined with the ability to work confidently in customer-facing environments.

Key capabilities include:

• Hands-on experience deploying NLP or LLM-powered features in production environments
• Strong knowledge of retrieval-augmented generation systems, retrieval and recommendation architectures, and vector databases
• Experience building, debugging, and maintaining end-to-end LLM workflows
• Familiarity with graph databases and modern cloud data warehouses
• Confidence designing integration architectures across APIs, data platforms, and enterprise infrastructure
• Excellent stakeholder management skills, with the ability to communicate complex technical concepts clearly

What They Offer

• Base salary between £80,000 and £130,000
• Fully remote working environment
• Exposure to enterprise-scale AI deployments within the life sciences sector
• The opportunity to influence both customer outcomes and the evolution of a core AI platform
• A collaborative, high-impact environment with clear scope for professional growth

How to Apply

If you are excited by customer-facing AI engineering roles and want to work on meaningful, production-grade machine learning systems, apply now to learn more about this opportunity

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Lead Product Manager (FinTech)

Location: New York, NY (Remote)
Pay: $180k – $220k Base & Equity

Overview

A high-growth enterprise SaaS company in the wealth technology space is seeking a senior Product Management individual contributor to lead onboarding initiatives. This role plays a critical leadership function during a period of organisational transition and will have a strong influence on product strategy, execution, and cross‑functional alignment. The successful candidate will bring deep domain expertise, strong product instincts, and the ability to operate with ownership at a senior level.

Responsibilities

• Own the vision, strategy, and execution of onboarding-related product initiatives
• Drive product discovery, roadmap definition, and delivery as a senior individual contributor
• Act as a point of leadership and stability during a planned leadership transition
• Partner closely with engineering, design, and go‑to‑market teams to deliver high‑impact product experiences
• Develop a deep understanding of the onboarding journey and identify opportunities for optimisation and differentiation
• Provide mentorship and guidance to other product managers while remaining hands-on
• Ensure continuity of product decision‑making, delivery momentum, and stakeholder alignment

Must‑Have Qualifications

• Significant experience as a Senior or Lead Product Manager within B2B SaaS or wealth/financial technology
• Proven ownership of onboarding, activation, or customer lifecycle products
• Strong background in product discovery, roadmap ownership, and execution
• Experience partnering cross‑functionally with engineering and design teams
• Ability to operate as a senior individual contributor without people management responsibility
• Bachelor’s degree or equivalent professional experience

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Product Manager, Payments and Cards
London, Hybrid
Salary up to £110,00

This is an opportunity to take ownership of high impact payments and card products within a large scale consumer mobile platform. You will shape how millions of users experience digital payments, working on complex, regulated products while maintaining a strong focus on usability and performance.

The Company
They are a global consumer technology business operating a widely used mobile application with a growing ecosystem of digital services. Payments are a strategic priority, with a rapidly expanding wallet and card offering live across multiple international markets. The organisation combines the pace of a scale up with the reach and stability of a well established global platform.

The Role

• Own and develop card based product features including virtual cards and card lifecycle management
• Lead the design and optimisation of card to card payments and transaction journeys
• Drive integrations with external payment platforms such as mobile wallets
• Improve end to end payments experiences with a focus on security, scalability and performance
• Monitor transaction success rates and use data to inform product decisions
• Collaborate closely with engineering and cross functional teams across distributed locations
• Support the continued rollout and scaling of payments products across new markets

Your Skills and Experience

• Strong commercial product management experience within payments, fintech or card products
• Proven ownership of payment flows, wallets or card functionality in a consumer facing product
• Experience working on high usage B2C mobile applications
• Solid understanding of card issuing, transaction flows and payments journeys
• Data driven approach to product development and performance optimisation
• Comfortable working in regulated environments and alongside compliance requirements

How to Apply
Apply now to find out more about this product management opportunity in payments and cards.

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AI Forward Deployed Engineer – Knowledge graphs, LLMs and RAG
Remote, UK. £90,000 to £130,000 base salary.

If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer.

The Company
They are a Series A, AI-first TechBio organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations. The business operates fully remotely and brings together expertise across engineering, data science, and biomedical domains.

The Role

• You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments.
• You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations.
• You will design and build solutions using retrieval systems, RAG architectures, agent based workflows, and APIs.
• You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions.
• You will identify recurring customer needs and feed these back into the core platform, supporting productisation.
• Alongside customer work, you will contribute directly to internal platform and engineering initiatives.

Your Skills and Experience

• Strong commercial experience deploying NLP or LLM powered systems into production environments.
• Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems.
• Practical experience building, debugging, and operating end to end LLM workflows.
• A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure.
• Exposure to graph databases and modern data warehouses is highly beneficial.
• Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders.

What They Offer

• Base salary between £90,000 and £130,000, depending on experience.
• Fully remote working with flexibility and autonomy.
• The opportunity to work on high impact AI products used by leading enterprise customers.
• Clear scope to influence product direction and grow alongside a scaling, venture backed business.
• Additional benefits and development support within a collaborative, engineering led culture.

How to Apply
Apply to discuss how your experience aligns with this AI Forward Deployed Engineer opportunity and the impact you could make.

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Senior Data Scientist

Salary
£60,000-£75,000 + bonus

Location + work pattern
London or Leicester | Hybrid working (1 day per week in the office)

THE COMPANY

• A well-established UK general insurance provider with a strong reputation for advanced analytics and data-driven decision making.
• The business operates at scale across multiple personal lines products and continues to invest significantly in modern data platforms and machine learning.
• Data science sits at the core of how the organisation prices risk and drives commercial strategy.

THE ROLE

This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches.
Specifically, you can expect to be involved in:

• Building and enhancing pricing and risk models using large, complex and messy datasets.
• Developing predictive and residual models to better understand expected versus actual outcomes.
• Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy.
• Supporting the progression of existing models from early versions into more mature, production-ready solutions.
• Mentoring junior team members and contributing to best practice across the data science community.

YOUR SKILLS AND EXPERIENCE

• Strong experience in predictive modelling using Python and SQL.
• Hands-on experience with modern machine learning techniques such as gradient boosting methods.
• Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches.
• Experience deploying models into production environments within a cloud-based platform.
• Ability to communicate technical concepts clearly and support less experienced colleagues.

THE BENEFITS

• Performance-related bonus.
• Car allowance.
• Private medical insurance and health & wellbeing support.
• Generous holiday allowance with the option to buy or sell additional days.
• Pension contribution with employer matching.
• Life assurance, income protection and additional optional benefits.

THE PROCESS

• Initial 30-minute interview focused on experience and approach.
• Technical case study with presentation and discussion.
• Competency-based interview covering leadership and delivery scenarios.
• Final-stage interview focused on team fit and senior stakeholder engagement.

HOW TO APPLY

Please register your interest via the apply link on this page.

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Lead Credit Risk Analyst

Salary
£60,000-£66,000

Location + work pattern
Leicester | Hybrid working (typically 1-2 days per week in the office)

THE COMPANY

• A UK-based consumer lender with a growing analytics and credit risk capability.
• Known for investing in data, modern decision systems, and professional development.
• Operates with a collaborative culture and clear progression opportunities within analytics.

THE ROLE

This is a senior-level credit risk role sitting within an established analytics team, positioned between leadership and junior analysts. The role focuses on existing customer management (ECM) while offering exposure to wider portfolio and acquisition work.
Specifically, you can expect to be involved in:

• Developing and enhancing ECM strategy across the lending portfolio.
• Credit limit management, including policy design and customer limit changes.
• Supporting model implementation and the rollout of new behavioural scorecards.
• Portfolio analysis, MI production, and customer trend insight.
• Contributing to cross-team projects, with scope to move into acquisition-focused work over time.

YOUR SKILLS AND EXPERIENCE

• Strong background in consumer lending (e.g. credit cards, personal loans, mortgages).
• Proven experience in ECM or acquisition strategy, including limit or policy work.
• Solid analytical capability with SQL (or a comparable data querying language).
• Ability to communicate insights clearly to both technical and non-technical stakeholders.
• 5+ years’ experience in a credit risk or analytics role, operating at a senior level.

THE BENEFITS

• Clear opportunities for progression within a growing analytics team.
• Exposure to wide-ranging, business-critical projects.
• Supportive environment with a strong focus on learning and development.
• Flexible hybrid working model.

THE PROCESS

• Initial 30-minute interview.
• Technical stage including a coding task, presentation, and competency-based discussion with the wider team.
• Final interview with senior stakeholders, including additional technical questions if required.

HOW TO APPLY

Please register your interest via the apply link on this page.

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Data Scientist

£45,000 – £48,000

Hybrid – Merseyside (3 days per week in the office)

This is a strong opportunity for a commercially minded Data Scientist to join a business at a

genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.

The Company

They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.

The Role

You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.

Key responsibilities include:

• Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
• Developing, testing and deploying machine learning models end to end, from problem definition through to production
• Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
• Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
• Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
• Communicating insights, model outputs and business impact clearly to non-technical audiences

Your Skills and Experience

To succeed in this role, you will bring a practical, business-led approach to Data Science.

Key requirements include:

• Strong commercial experience using Python for Data Science and machine learning
• Solid SQL skills and confidence working with large, complex datasets
• End-to-end Data Science experience, including taking models into production
• Experience applying statistical modelling or machine learning to real business problems
• Confidence working with stakeholders and explaining technical concepts in a clear, credible way

Nice to have:

• Exposure to cloud platforms such as GCP or Azure
• Experience with model deployment tools such as Vertex AI or Azure ML
• Any background in customer analytics, forecasting or personalisation

What They Offer

• Salary of £45,000 to £48,000
• Hybrid working, with three days per week on site in Knowsley
• The chance to help build a Data Science capability from an early stage
• High visibility work tied directly to customer and commercial outcomes
• Clear opportunity to grow alongside the team as Data Science scales across the business

How to Apply

If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.

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Web Analyst
Up to 46k
London (Hybrid)

This is a hands-on implementation role where you will own digital tracking across web and app platforms. It stands out for its focus on delivery rather than reporting, giving you the opportunity to build and optimise robust tracking solutions while developing in high-demand areas such as app analytics.

The Company
They are a large international retail organisation with a multi-brand portfolio and a strong digital presence across Europe. Their central digital function brings together specialists across UX, content, and online performance, working collaboratively to drive scalable solutions. The analytics and tracking capability operates as an internal agency, supporting multiple brands across different markets. They offer a fast-paced, collaborative environment where technical ownership is encouraged.

The Role

• Own end-to-end tag implementation using Google Tag Manager across web platforms
• Work closely with stakeholders to define tracking requirements and deliver solutions independently
• Build and maintain data layers to support accurate and scalable tracking
• Implement, test and debug tags, triggers and variables to ensure data quality
• Support mobile app tracking initiatives, with exposure to tools such as GA4 and Firebase
• Partner with product, UX and development teams to embed tracking into digital journeys
• Ensure all implementations are compliant with GDPR and cookie consent requirements
• Act as a confident point of contact for non-technical stakeholders, translating requirements into delivery

Your Skills & Experience

• Strong hands-on experience implementing tracking using Google Tag Manager and GA4
• Proven ability to set up tagging directly, rather than purely analysing or reporting
• Solid understanding of data layers, tag configuration and QA processes
• Experience working within GDPR and cookie consent frameworks
• Confident communication skills, with the ability to work across technical and non-technical teams
• Experience in an agency or fast-paced, cross-functional environment is highly beneficial
• Interest in developing skills in mobile app tracking and new analytics tools

What They Offer

• Competitive salary and bonus potential
• Hybrid working model
• Opportunity to gain experience in app tracking and emerging analytics capabilities
• Collaborative team with strong exposure across multiple brands and markets
• Ongoing learning and development within a growing digital function
• Additional benefits including wellbeing support and retail discounts

How to Apply
Apply now to take ownership of digital tracking delivery in a role focused on implementation and technical impact.

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