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Machine Learning Engineer
New York | Hybrid (4 days in office)
$200k – $225k base + 20% bonus

A well-funded real estate business is investing heavily in AI and data to transform how strategic decisions are made across its portfolio. They’re hiring a Machine Learning Engineer to join a small, highly visible team building predictive analytics and AI-powered products used by investment and operational stakeholders.

This is an opportunity to work on business-critical systems where data and AI directly influence commercial decision-making.

What You’ll Do:

• Build scalable data platforms, pipelines and ML infrastructure
• Develop and deploy production AI solutions, including LLMs, RAG systems and AI agents
• Partner closely with business stakeholders to solve complex problems
• Drive architecture decisions and technical strategy
• Own projects end-to-end from design through production

What We’re Looking For:

• Experience in ML Engineering & Applied AI
• Production experience building and deploying AI/ML systems
• Strong knowledge of modern data technologies such as Databricks, Spark, Kafka, Airflow and Delta Lake
• Excellent software engineering and distributed systems fundamentals
• Comfortable operating in fast-moving, high-ownership environments

Ideal Backgrounds:

• FinTech, investment management, asset management, hedge funds or other data-driven industries
• Startup or scale-up environments
• Data platform, infrastructure or applied AI teams

Why Join?

• Greenfield AI initiatives
• Small team with significant ownership
• Direct exposure to senior decision-makers
• Opportunity to shape products, architecture and strategy
• Fast-moving environment where ideas quickly reach production

Interested in building AI products that drive real-world business decisions? Apply here!

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Senior Pricing Analyst
Location: Cardiff (Hybrid)
Salary: Up to £60,000

We’re working with a growing organisation looking to hire a Senior Pricing Analyst to support its continued growth and development. This is an exciting opportunity to join an established team, influence commercial decisions and contribute to the development of pricing strategies across a range of products.

The Role

• Analyse large datasets to identify trends, assess performance and support pricing decisions.

• Recommend pricing changes based on data-driven insights, clearly communicating the rationale and commercial impact.

• Maintain and enhance pricing models using Excel and Python.

• Use SQL to query and analyse live data.

• Support the development of pricing strategies to manage risk, improve competitiveness and drive growth.

• Evaluate new market opportunities and help optimise pricing models.

• Present findings and recommendations to senior stakeholders.

About You

• At least 2 years’ experience in a pricing-focused analytical role, ideally 3-4 years.

• Strong understanding of pricing principles and their commercial application.

• Confident using SQL to analyse data.

• Experience with Excel modelling; Python is desirable.

• Able to interpret complex data and translate findings into clear, actionable recommendations.

• Commercially minded, analytical and comfortable working collaboratively.

• A degree in any discipline.

Experience within financial services, lending, mortgages or another pricing-led industry would be advantageous.

What’s on Offer?

• Salary up to £60,000, with flexibility for exceptional candidates.

• Hybrid working, with one day per week in the office required.

• Exposure to varied pricing projects and commercial strategy.

• The opportunity to work alongside experienced technical specialists.

• A collaborative, non-hierarchical team environment with regular team socials.

Interested? Apply today to find out more about this opportunity.

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FULL STACK PRODUCT ENGINEER

up to £90,000
London (Hybrid)
This is a great opportunity to join a newly created R&D function within a global professional services organisation, where you can take ownership of AI-enabled product development and help shape the future of how knowledge-intensive professionals interact with data, documents and intelligent technologies.

THE COMPANY:

This organisation is a globally recognised professional services business operating across multiple international markets with thousands of employees worldwide. It is investing heavily in a brand-new R&D capability focused on developing data-driven and AI-enabled products that improve how professionals access information, make decisions and deliver services to clients.
You’ll join a small, highly collaborative team spanning Product Engineering, AI Engineering, Data Science and Data Engineering, working on innovative solutions from concept through to production deployment.

THE ROLE:

You will take ownership of frontend-led full stack product engineering, building intuitive user-facing applications and AI-powered workflows for business-critical use cases.
Key responsibilities include:

• Building modern applications using TypeScript, React and Next.js.
• Developing AI-assisted experiences including search, retrieval, document review and decision-support workflows.
• Creating reusable component libraries and scalable design systems.
• Developing APIs and integrations using Node.js, Python and cloud-native technologies.
• Owning deployment, monitoring, support and continuous improvement within Azure environments.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Full Stack Engineering experience within a product, SaaS or startup environment.
• Strong TypeScript expertise.
• Strong React experience, with Next.js experience
• Backend development experience with Node.js and/or Python.
• Experience building, shipping and supporting production applications used by real customers and end users.
• Experience developing AI-enabled features involving LLMs, retrieval, search or document-processing capabilities.
• Experience deploying and maintaining applications in Azure.
• Experience with Docker, Git, testing frameworks and CI/CD practices.
• Strong product mindset with the ability to translate business problems into intuitive user experiences.

THE BENEFITS:

You will receive a competitive salary up to £90,000 depending on experience.

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 Data Scientist

London | £60,000 – £80,000

This Senior Data Scientist role offers the chance to work on end-to-end credit risk modelling within a highly data-driven environment where analytics is central to commercial success.

THE COMPANY
This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation and continue to invest heavily in their data capabilities. Their Data Science team works closely with Risk, Engineering, and Product functions to drive business growth through data-led decision making.

THE ROLE
* Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
* Apply machine learning techniques to improve underwriting and risk assessment processes.
* Analyse large and complex datasets to identify trends, opportunities, and risks.
* Develop predictive models to support business performance and customer outcomes.
* Collaborate with Product, Engineering, Credit Strategy, and Risk teams to deliver data-driven solutions.
* Create visualisations and communicate analytical findings to technical and non-technical stakeholders.
* Support model deployment, monitoring, and best practice model lifecycle management.
* Contribute to the ongoing development of the organisation’s data science capability.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience in Data Science within credit risk, lending, or financial services.
* Experience building predictive credit models from scratch.
* Hands-on machine learning experience in a commercial environment.
* Strong Python and SQL skills.
* Experience developing credit scorecards, risk models, or forecasting models.
* Ability to communicate technical concepts effectively to stakeholders.
* Experience working with consumer lending or SME lending portfolios would be beneficial.

WHAT THEY OFFER
* £60,000 – £80,000 base salary.
* Flexible hybrid working model.
* Competitive benefits package.
* Exposure to complex machine learning and credit risk challenges.
* Opportunity to work alongside experienced data science and risk professionals.
* Clear progression opportunities within a growing analytics function.

HOW TO APPLY
Please apply by sending your CV to Rachael through the link below.

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Data Scientist

London | £40,000 – £60,000

This is an opportunity to join a growing data science team where you’ll work on end-to-end machine learning solutions that directly influence lending decisions, risk management, and commercial performance. You’ll collaborate with decision science, credit strategy, engineering, and product teams, solving complex business challenges through advanced analytics and machine learning.

THE COMPANY
This fast-growing financial technology business leverages data, automation, and machine learning to deliver innovative funding solutions to businesses at scale. Operating in a highly analytical environment, they place data science at the heart of decision-making and product development.
Following significant growth, the business is investing further in its modelling capabilities and expanding its data science team. This is a great opportunity to join a collaborative function where your work will have visible commercial impact.

THE ROLE
* Build and develop credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
* Apply machine learning techniques to improve underwriting and decision-making processes.
* Analyse large datasets to identify trends, risks, and opportunities.
* Develop predictive models to support risk, fraud, and business performance objectives.
* Work closely with stakeholders across product, engineering, risk, and commercial teams.
* Create clear insights and visualisations to support business decisions.
* Contribute to model deployment, monitoring, and lifecycle management.
* Support the development of scalable analytical solutions and best practices.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience in Data Science within credit risk or lending environments.
* Experience building predictive models from scratch rather than solely maintaining existing models.
* Hands-on machine learning experience.
* Strong Python and SQL skills.
* Experience developing scorecards, credit risk models, or related predictive analytics solutions.
* Ability to communicate technical findings to both technical and non-technical stakeholders.
* Experience within consumer lending, SME lending, fintech, banking, or related financial services environments.
Desirable:
* Experience within SME lending.
* Exposure to MLOps or model deployment frameworks.
* Experience working in fast-paced, data-driven businesses.

SALARY AND BENEFITS
* £40,000 – £60,000 base salary depending on experience.
* Hybrid working model with flexibility around office attendance.
* Competitive benefits package.
* Opportunity to work alongside experienced data science, risk, and engineering professionals.
* Clear opportunities for career progression within a growing team.

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the Apply link for this role.

To Apply for this Job Click Here

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Data Engineer

Up to £65,000 + Benefits
Nottingham (2 Days in Office)
This is a great opportunity to join a well-established financial services organisation that is undertaking a significant data transformation programme. You’ll play a key role in building and scaling a modern Microsoft Fabric data platform that will become the central source of truth for reporting, analytics and decision-making across the business.

THE COMPANY

This organisation is a long-established and highly respected UK financial services provider with a large customer base and a strong reputation for trust and stability. Currently investing heavily in technology and data, the business is modernising its data estate and building a cloud-first platform to support future growth, improved insights and better customer outcomes.

THE ROLE

Working closely with the Lead Data Engineer and a collaborative data team comprising engineering, governance and analytics specialists, you will help shape and deliver the next phase of the organisation’s Microsoft Fabric platform.
Key responsibilities include:

• Building and enhancing data solutions within Microsoft Fabric.
• Developing and maintaining Bronze, Silver and Gold data architectures.
• Integrating and transforming data from multiple source systems into Lakehouse environments.
• Building scalable data pipelines using Python, SQL and PySpark.
• Supporting the development of a centralised enterprise data platform and single source of truth.
• Collaborating with stakeholders to gather requirements and understand business data needs.
• Supporting the adoption of CI/CD practices and modern engineering standards.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Hands-on experience with Microsoft Fabric and delivering data engineering solutions within the platform.
• Strong Python development skills.
• Experience building and maintaining ETL/ELT pipelines.
• Experience working within Microsoft Azure environments.
• Strong SQL skills for data transformation and modelling.
• Knowledge of data warehousing, lakehouse environments and medallion architecture.
• Strong communication skills and the ability to work with both technical and non-technical stakeholders.

THE BENEFITS

You will receive a salary of up to £65,000 depending on experience.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here