ORLANDO data & ai RECRUITMENT

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Data Scientist – Credit Risk
£55-65,000
London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models, ideally within credit risk
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £55-65,000
• Company pension scheme
• Private medical care
• Equity scheme

HOW TO APPLY

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

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Lead AI Engineer – Multimodal
London (Hybrid), Up to £140,000 + benefits

This is a standout opportunity to step into a senior, hands-on leadership role within a newly established AI Lab. You will have genuine influence over technical direction, product experimentation, and delivery, while helping shape how generative AI is applied to high-impact, content-led products.

The Company
They are a globally operating organisation known for producing trusted, high-quality information and insight at scale. With a strong reputation for intellectual rigour and independence, they are investing significantly in advanced AI capabilities as part of a long-term product and innovation strategy. The AI Lab sits at the centre of this ambition, operating as a focused, high-impact product initiative.

The Role

• Provide senior technical leadership across a small, multidisciplinary AI Lab
• Design, build, and iterate on AI-powered prototypes spanning text, audio, voice, and multimodal experiences
• Lead technical exploration of new models, tools, and workflows
• Define and own architectural decisions, balancing speed, quality, and scalability
• Work closely with product, engineering, and non-technical stakeholders to turn ideas into live experiments
• Mentor and support engineers, contributing to the Lab’s longer-term technical roadmap

Your Skills & Experience

• Strong commercial experience building with modern generative AI systems in production or advanced prototype environments
• Excellent software engineering capability with a bias towards hands-on delivery
• Experience working across multiple modalities, such as text, audio, voice, or conversational interfaces
• Strong judgement in selecting models, tools, and architectures for different use cases
• Confidence communicating complex technical concepts to non-technical audiences
• Comfortable operating autonomously in fast-moving, ambiguous environments

What They Offer

• Salary up to £140,000 plus a competitive benefits package
• A senior role with real ownership and influence over a flagship AI initiative
• The opportunity to work in a small, high-impact team with strong executive backing
• Hybrid working model with a central London office and collaborative culture

How to Apply
Apply now to find out more about this Lead AI Engineer role and how you could shape the next phase of an ambitious AI programme.

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Senior AI Engineer – NLP, Finetuning and Multimodal
London, hybrid working (3 days in office), Up to £120,000 plus benefits

If you are excited by the idea of shaping how generative AI is applied to high-quality, real-world products, this role offers the chance to do exactly that. You will join a newly formed AI Lab where experimentation is encouraged, quality matters, and your work will have clear visibility and impact from day one.

The Company
They are a well-established, global organisation operating at the intersection of content, technology, and insight. With a strong reputation for quality and trust, they are investing heavily in generative AI as a core capability. The business operates at international scale and is now building new AI-driven products designed to influence how audiences engage with complex information.

The Role

• Build, fine-tune, and deploy LLM-powered systems used in customer-facing products
• Develop models that capture and reproduce a distinct editorial tone and style
• Design and evaluate retrieval-augmented generation pipelines using structured content
• Support experimentation in real-time generation, personalisation, and multimodal use cases, including audio
• Work closely with product, engineering, and editorial stakeholders to translate ideas into working solutions
• Contribute to a fast-moving, experimental environment where iteration and learning are central

Your Skills & Experience

• Strong hands-on experience working with large language models and NLP systems
• Practical experience fine-tuning models using techniques such as supervised fine-tuning or prompt tuning
• Strong Python capability and familiarity with modern LLM tooling and frameworks
• Experience building or working with RAG pipelines and model evaluation approaches
• Confident communicator, comfortable collaborating with non-technical stakeholders
• A curious, exploratory mindset with a strong focus on output quality and real-world impact

What They Offer

• Salary up to £120,000 plus a strong benefits package
• The opportunity to work on a flagship AI initiative with senior visibility
• A high-impact role in a small, dedicated AI Lab with genuine influence over technical direction
• Hybrid working with a central London office and a collaborative team culture

How to Apply
Apply now to discuss how this Senior AI Engineer role could be the next step in your AI and generative technology career.

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Lead AI Engineer
London (Hybrid), competitive salary between £120,000 and £140,000 plus benefits

This is a rare opportunity to step into a hands on AI leadership role within a small, high impact innovation lab. You will play a critical role in shaping how advanced AI capabilities are explored, prototyped and brought closer to real world products, with genuine influence over technical direction during a pivotal period for the team.

The Company

They are a recognised organisation operating at the intersection of content, technology and insight, with a strong reputation for intellectual rigour and independence. Their work reaches a large audience and supports individuals and organisations in understanding complex global change. The business is investing significantly in AI to explore new ways of delivering value, while maintaining the highest standards of quality and trust. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next.

The Role

As Lead AI Engineer, you will provide senior technical leadership within the AI Lab, taking ownership of complex engineering decisions and hands on delivery.

• Provide technical leadership and continuity within the AI Lab during a period of team transition
• Design, build and iterate on AI driven prototypes across text, audio, voice, video and multimodal experiences
• Lead experimentation with new models, tools and workflows, assessing their suitability for different use cases
• Shape pragmatic architectures that balance speed, flexibility, quality and future scalability
• Help identify where advances in AI can create distinctive value for audiences and products
• Contribute to the longer term technical direction of the Lab, influencing what capabilities to build or scale
• Support and mentor other technical contributors where appropriate

Your Skills and Experience

• Strong hands on experience building modern generative AI systems in production or advanced prototype environments
• Excellent software engineering capability with a pragmatic approach to rapid prototyping
• Experience working with multiple modalities such as text, audio, voice, video or conversational interfaces
• Ability to clearly explain technical concepts to non technical stakeholders
• Experience defining and applying evaluation approaches for AI quality, reliability and usability
• Must have experience working in a content creation environment

What They Offer

• Competitive salary and comprehensive benefits package
• Hybrid working with regular collaboration from a London office
• Generous pension, private healthcare and wellbeing support
• Flexible working benefits including work from anywhere options
• Strong parental leave, annual leave and additional wellbeing days

How to Apply

Apply below or email me at

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Staff Data Scientist – Paid Marketing
London – x2 days a week
Up to £113,000 plus bonus and benefits
This is a fantastic opportunity to join a high‑growth, product‑led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.

The Company
They are a fast‑scaling, community‑focused digital marketplace with a strong app footprint and a mission‑led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.

The Role
You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions.
Key responsibilities include:
* Leading the development, maintenance, and optimisation of attribution models for sign‑ups and paid activity.
* Building measurement capabilities, including CLV and LTV modelling for strategic forecasting.
* Delivering complex, in‑depth analysis to explain performance and guide future investment.
* Partnering with stakeholders across paid, brand, and wider marketing teams.
* Driving the measurement roadmap and ensuring clarity on key metrics across the business.
* Providing BAU support while also setting long‑term direction.

Your Skills and Experience
You will bring:
* Strong SQL skills.
* Excellent Python capability for developing analytics and attribution models.
* Proven experience in marketing analytics within an app‑based or digital‑first environment.
* Ability to communicate complex measurement concepts clearly to non‑technical stakeholders.
* Experience owning attribution frameworks and performance measurement processes.

What They Offer
* Up to 113k plus benefits

How to Apply
If you are passionate about building best‑in‑class measurement for a fast‑moving digital brand, apply today to find out more.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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Senior AI Engineer
London (Hybrid) Competitive salary between £110,000 and £120,000 plus benefits

This is a rare chance to join a newly formed AI Lab at an early stage, where you will help shape how generative AI is applied to high quality, content rich products. You will work close to design, product and editorial partners, shipping zero to one AI systems that directly influence real user experiences.

The Company

They are a recognised organisation known for intellectual rigour, independence and innovation. Operating across media, education and enterprise insight, they reach audiences in over 170 countries. The business is investing in advanced AI capabilities to explore new ways of delivering trusted information while maintaining the highest editorial standards. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next.

The Role

As a Senior AI Engineer, you will be a core technical contributor within the AI Lab, focusing on building and refining LLM powered systems.

• Build, fine tune and evaluate LLM based systems with a strong focus on editorial tone and style alignment
• Design and manage datasets for fine tuning, including annotation and versioning workflows
• Develop and test retrieval augmented generation pipelines using structured content
• Prototype text to speech and audio generation pipelines for audio first experiences
• Collaborate closely with product, design and engineering partners to ship internal tools and demos
• Work directly with editorial stakeholders to define meaningful evaluation criteria for AI generated content

Your Skills and Experience

• Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments
• Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning
• Strong Python skills and experience with modern LLM tooling and data pipelines
• Confidence defining and tracking generation quality using both quantitative and qualitative evaluation methods
• Exposure to speech to text or text to speech tools for prototyping audio experiences
• Comfortable working in ambiguity and collaborating with non technical stakeholders

What They Offer

• Competitive salary and comprehensive benefits package
• Hybrid working with 3 days per week in a London office
• Strong pension, private healthcare and wellbeing support
• Flexible working benefits including work from anywhere options

How to Apply

Apply below or email me at

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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Data Scientist
London, Hybrid Working

This is an opportunity to join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will combine advanced analytics with practical insight, helping organisations turn complex data into clear, actionable outcomes. The role offers variety, visibility, and the chance to develop your skills across a broad range of projects and industries.

The role:

• Deliver insight and analysis that supports data driven marketing and commercial decision making.
• Build and apply predictive models and machine learning techniques to optimise client strategies.
• Prepare, cleanse, and manipulate data from multiple sources to ensure it is analysis ready.
• Translate analytical findings into clear stories for both technical and non technical audiences.

Your Skills & Experience

• Strong commercial experience in data analysis or data science.
• Confident using Python or R for statistical analysis and modelling.
• Solid understanding of statistical methods and predictive modelling techniques.
• Experience working with SQL and data visualisation or BI tools.
• Ability to communicate insight clearly and work collaboratively with a range of stakeholders.
• A proactive, solutions focused mindset with strong attention to detail.

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Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I’m hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.

This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.

The company

This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities – using data to solve real commercial problems and drive better decisions.

They’ve built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.

Where you fit

You’ll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.

This is a hands‑on modelling role with strong client interaction, where you’ll take problems from discovery through to delivery – combining technical expertise with commercial thinking.

What you’ll be doing

• Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
• Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
• Develop and refine models, including training, testing, and optimisation
• Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
• Define features, model structures, and scoring outputs for data products
• Translate analytical outputs into clear, actionable insights and presentations for clients
• Contribute to the development of scalable, reusable data products within the platform

Example project

You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy – using behavioural and demographic patterns to optimise outcomes.

Tech stack

• Python & SQL (essential)
• Databricks (core analytics environment)
• Azure‑based data platform (with flexibility depending on client environments)

What you bring

Must‑haves

• 3+ years experience in data science
• Strong Python and SQL skills
• Experience building and evaluating predictive models
• Understanding of data modelling and feature engineering
• Ability to translate data into clear commercial insight and recommendations
• Confident communicator – comfortable working directly with clients
• Consultancy or client‑facing experience

Nice to have

• Experience with Databricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries like telecoms, financial services, or utilities

Why this role

• Work on end‑to‑end data science projects – not just isolated modelling
• Strong balance of technical work and commercial impact
• Opportunity to contribute to product development and innovation
• Exposure to multiple clients, industries, and use‑cases
• Collaborative team environment with analysts, SMEs, and product teams

Working pattern

• Hybrid: 1 day per week in London
• Open to candidates based in the Midlands who can commute weekly
• Additional flexibility for the right candidate
• UK travel to clients may be required depending on project work

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