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AI Engineering Lead
Remote (UK-based, with occasional travel)

This is a rare opportunity to take ownership of AI strategy and delivery within a fast-scaling, international business. You will shape how artificial intelligence is applied across multiple industries, working directly with senior leadership to turn innovation into measurable commercial impact.

The Role

• Define and deliver the AI strategy across a diverse group of businesses
• Design scalable architecture and build production-ready AI systems
• Identify and prioritise high-impact use cases that drive efficiency and commercial value
• Evaluate and implement tools, platforms, and frameworks for AI deployment
• Work closely with senior stakeholders, including C-level leadership, to align AI initiatives with business goals
• Establish best practices for AI engineering, deployment, and governance
• Support adoption across decentralised teams while enabling local autonomy
• Act as the senior technical lead for AI, shaping future capability and direction

Your Skills & Experience

• Strong commercial experience building and deploying AI-powered applications
• Hands-on expertise with Python and modern AI tooling, including large language models
• Experience designing and implementing scalable technical architectures
• Understanding of prompt design, retrieval-based systems, and orchestration frameworks
• Experience integrating AI solutions into business systems and workflows
• Comfortable working across both technical and non-technical stakeholders
• Ability to operate autonomously in a fast-moving, evolving environment

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Role Title
Credit Analyst

Salary
£50,000-£70,000

Location + work pattern
London (Hybrid – typically 2 days per week in office)

THE COMPANY
This organisation is a UK-based FinTech focused on helping customers manage and reduce personal debt through innovative lending solutions. They leverage open banking data to better understand customer behaviour and improve financial outcomes. With strong growth and a clear mission-driven approach, they offer an opportunity to make a meaningful impact within a modern lending business.

THE ROLE
This role sits within a data and lending function, focused on improving decision-making processes across credit and underwriting. You will play a key part in automating decisions and enhancing the accuracy of lending strategies through data analysis.
Specifically, you can expect to be involved in:

• Developing and improving automated credit decisioning and underwriting processes
• Analysing lending and customer data to optimise risk and approval strategies
• Collaborating with product, engineering, and credit teams to enhance decision systems
• Utilising open banking data to deepen customer insights and risk assessments
• Evaluating affordability and improving methodologies used in lending decisions

YOUR SKILLS AND EXPERIENCE

• Experience working in credit risk within a lending environment
• Strong understanding of underwriting and data-led decisioning processes
• Proficiency in SQL for data analysis and querying
• Ability to interpret data and communicate insights to both technical and non-technical teams
• Familiarity with affordability assessment or open banking data is beneficial

THE BENEFITS

• Competitive salary and equity options
• Private medical insurance
• Opportunity to work in a purpose-driven, high-growth FinTech
• Collaborative and data-focused working environment

THE PROCESS

• Initial screening interview
• Live technical assessment (SQL-based)
• Business case discussion
• Final interview focusing on business case and cultural fit
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page

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Our client is an innovative AI avatar technology company powering the visual and embodiment layer for AI personas. Their proprietary framework brings AI to life as fully realized digital identities that look, think, and behave like living entities across enterprise, gaming, and entertainment ecosystems. Backed by $200M from top-tier investors, they are built on the belief that every website, app, game, and human will soon have an AI persona.

We are seeking a Senior Machine Learning Engineer to join their Avatar Technology team. In this role, you will bridge the gap between machine learning and real-time animation pipelines, taking generative models from prototype to high-quality production environments.

What You’ll Do

• Production ML Integration: Integrate machine learning models into real-time animation systems across mobile and web environments.
• Motion Generation: Develop systems that translate inputs like audio, text, and intent into responsive avatar motion, specifically adapting generative models (diffusion, transformers) for facial animation and gesture generation.
• Data & Tooling Pipelines: Build motion data processing pipelines (mocap, facial capture) and develop DCC tool integrations (Maya, Blender) to empower Technical Artists.
• Optimization & Collaboration: Partner with Behavior and LLM teams to link predictive motion to character logic , while optimizing performance across CPU, GPU, and memory constraints.

What You Should Have

• 7+ years of experience in machine learning, animation systems, or related technical roles within games, VFX, or interactive media.
• Strong programming skills in Python, along with C++ and/or C#.
• Production experience with ML frameworks like PyTorch or TensorFlow , and a proven track record of shipping ML systems.
• Practical exposure to skeletal animation, rigging, or simulation pipelines.
• Experience integrating systems into real-time engines such as Unity, Unreal, or web-based runtimes.
• Deep understanding of performance constraints including latency, memory, and scalability.

Benefits & Structure

• Work Structure: Hybrid environment (minimum 4 days weekly in-office); remote-eligible
• Compensation: Competitive salary, equity packages, and comprehensive health/wellness benefits.
• Perks: Unlimited PTO and parental leave.

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Senior Director, eCommerce Engineering

Mountain View, CA | Hybrid

We are partnering with a global consumer technology company that serves hundreds of millions of users through subscription-based digital products and services.

As the organization continues to invest in platform modernization and AI-driven innovation, they are looking to add a Senior Director of eCommerce Engineering to help shape the future of their global commerce ecosystem.

The Opportunity

This is a highly visible engineering role focused on modernizing enterprise commerce platforms, influencing long-term architecture strategy, and accelerating AI adoption across engineering teams.

You will partner closely with engineering leaders, architects, and product stakeholders to improve platform reliability, performance, and developer productivity while helping define the next generation of customer-facing commerce experiences.

What You’ll Be Doing

* Guide architecture strategy across enterprise commerce platforms.
* Drive modernization efforts across legacy Java-based backend systems.
* Improve checkout, billing, subscription, and payments infrastructure.
* Partner with engineering leaders and architects across globally distributed teams.
* Influence cloud, platform, and database modernization initiatives.
* Introduce AI-enabled capabilities across engineering workflows and platform experiences.
* Improve platform reliability, scalability, and operational efficiency.
* Define long-term technical roadmaps and engineering standards.

What We’re Looking For

* Experience building and developing engineering organizations within consumer technology environments.
* Strong background in backend architecture and distributed systems.
* Deep expertise in Java-based engineering environments.
* Experience modernizing enterprise platforms and applications.
* Cloud platform experience, ideally within Azure environments.
* Ability to operate effectively at both strategic and technical levels.
* Experience working with globally distributed engineering teams.

Preferred Experience

* Payments, billing, checkout, or subscription platform experience.
* Consumer-facing commerce or transaction-based platforms.
* AI-driven platform modernization initiatives.
* Oracle database modernization or migration experience.
* AWS exposure.
* Familiarity with React.

Compensation

* Base Salary: $230,000 – $280,000
* Annual Bonus
* Equity: RSUs
* Total Compensation: Up to approximately $500,000

Location

This is a hybrid opportunity with a preference for candidates located in:

* Mountain View, California

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Data Modeller/Junior Data Architect:

• Permanent role – Up to £65k + benefits
• London – 2x a week in the office

My client are looking to hire a Data Modeller to join their current team. You will be joining an established data team of 25. The team is made up of Data Governance, Data Engineering and BI, who are reporting into the Head of Data. For this specific role you will be reporting into the Head of Architecture within the team.

This role would suit someone who is a few years into their data career with strong data modelling experience and an ambition to become a Data Architect.

Requirements:

• Strong Data Modelling experience in tools such as Sparkx EA or similar tools.
• Proven experience in a Data Modeller role or similar such as: Junior Data Architect, Analytics Engineer, Data Engineer etc.
• Good communication and stakeholder management skills.
• Familiarity with the Microsoft stack, such as Azure, Fabric, Databricks.

What will make you stand out:

• A background in engineering or programming.
• Experience with SQL or Python.
• Experience within Healthcare.
• An interest in a long-term career in Data Architecture.

If you are interested in the role, please apply to follow up please message me on LinkedIn.

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Data Modeller

London (Hybrid, 2 days per week onsite) | Up to £65,000 + benefits

This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data is structured and used across the business.

The Company

They are a large, highly regulated organisation responsible for maintaining professional standards across a significant workforce in the UK. With a strong focus on public impact, they are investing heavily in modernising their data platforms, governance, and architecture. Their data function plays a critical role in driving informed decision-making and improving organisational outcomes. You will join a collaborative, forward-thinking team committed to building scalable and robust data solutions.

The Role

• Develop and maintain conceptual, logical, and physical data models to support key business initiatives
• Contribute to the design and evolution of data architecture standards and best practices
• Work across multiple projects, ensuring consistency in modelling approaches and data structures
• Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions
• Support the transition towards modern, cloud-based data platforms and architectural frameworks
• Engage with stakeholders to translate business requirements into structured data models
• Learn and develop towards a Data Architect role through mentoring and hands-on experience

Your Skills and Experience

• Strong commercial experience in data modelling across enterprise environments
• Experience with data modelling methodologies such as dimensional modelling, Kimball, or Data Vault
• Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem
• Familiarity with tools such as DBT, Python, or PySpark is beneficial
• Experience working in data transformation or modernisation programmes
• Understanding of architecture principles or a clear interest in developing into a Data Architect
• Confidence engaging with both technical and non-technical stakeholders

What They Offer

• Salary up to £65,000 with flexibility for highly relevant experience
• Hybrid working model with a central London office location
• Clear progression pathway into Data Architecture
• Mentorship from experienced architecture leadership
• Opportunity to shape data standards within a large-scale organisation
• Collaborative team environment with strong cross-functional exposure

How to Apply

If you are looking to strengthen your data modelling expertise and move towards a Data Architect career, please apply with your CV for consideration.

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CRO Developer
London (Hybrid, 2 to 3 days in office)
Up to £60,000
This is an opportunity to join a high-growth digital optimisation agency where experimentation sits at the heart of every decision. You will play a key role in delivering impactful A B tests across a diverse client base, working in a fast-paced environment that values ownership, collaboration, and continuous improvement.
The Company
They are a specialist digital optimisation agency combining experimentation, analytics, and SEO to improve online performance for their clients. With a strong reputation in the market, they have grown steadily and built a team-focused culture recognised for both its results and employee experience. The business works with a wide range of clients, offering exposure to varied projects and challenges. They prioritise learning, innovation, and creating an environment where individuals can develop and thrive.
The Role

• Build and deliver high-quality A B test variations using HTML, CSS, and JavaScript
• Own the end to end setup and execution of experiments across platforms such as AB Tasty, Optimizely, VWO, or Webtrends
• Collaborate with analysts, designers, and strategists to translate ideas into testable hypotheses
• Manage multiple concurrent experiments, ensuring timely delivery and high standards of QA
• Work closely with stakeholders across different functions and client teams
• Contribute to best practices in experimentation and development processes
• Support knowledge sharing and potentially mentor more junior team members

Your Skills and Experience

• Strong commercial experience in CRO development and experimentation
• Proven front end development skills with HTML, CSS, and JavaScript
• Experience working with A B testing or personalisation platforms such as AB Tasty, Optimizely, VWO, or similar
• Ability to manage multiple projects and stakeholders in a fast-paced environment
• Strong problem solving skills and attention to detail
• Experience in an agency environment or working across multiple brands or stakeholders is highly beneficial
• Confident communicator, comfortable working across both technical and non-technical teams

What They Offer

• Salary up to £60,000 depending on experience
• Hybrid working model with flexibility around office attendance
• Opportunity to work across a variety of clients and industries
• Strong focus on career development and progression within a growing team
• Collaborative and supportive culture with an emphasis on learning and innovation
• Additional benefits including pension, holiday allowance, and wellbeing support

How to Apply
If you are interested in this CRO Developer role, please apply with your CV for further discussion.

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Senior Front-End Developer (CRO / Experimentation)

London (Hybrid – Shoreditch)

Up to £60,000

The Opportunity

We’re working with a fast-growing digital optimisation agency looking for a Senior Front-End Developer (CRO) to join their experimentation team.

This is a hands-on role where you’ll build and deliver high-quality A/B test experiences, working closely with analysts, designers, and strategists to improve conversion and user experience across a wide range of client projects.

Key Responsibilities

• Build and deliver high-quality A/B testing experiences using HTML, CSS, and JavaScript
• Own technical implementation of experiments from setup to delivery
• Work with platforms such as Optimizely, VWO, AB Tasty, or similar
• Lead onboarding and configuration of testing tools for clients
• Ensure QA, documentation, and smooth deployment of experiments
• Collaborate with cross-functional teams to bring ideas to life
• Act as a trusted technical partner to clients and internal teams
• Mentor junior developers and contribute to best practices

What We’re Looking For

• 2+ years’ experience in CRO, experimentation, or front-end development
• Strong skills in HTML, CSS, and JavaScript
• Experience delivering A/B tests or personalisation experiments
• Familiarity with testing platforms (Optimizely, VWO, etc.)
• Strong problem-solving and multi-project management skills
• Excellent communication skills with both technical and non-technical stakeholders
• Agency or multi-client experience (preferred)
• Interest in analytics, SEO, or performance optimisation (nice to have)

Ways of Working

• Hybrid model (2 days in office)
• Collaborative, experimentation-led environment
• Exposure to a variety of clients and industries
• Strong focus on learning, innovation, and career growth

Benefits

• £40,000-£50,000 salary + pension
• 25 days holiday + rollover options
• Work from anywhere for up to 4 weeks per year
• Private wellbeing support (including mental health resources)
• Charity contributions matched by employer
• Career progression and development opportunities
• Flexible benefits shaped by employees
• Hybrid setup with home office support

How to Apply

If you’re a front-end developer passionate about experimentation and optimising digital experiences, we’d love to hear from you.

Apply with your CV or get in touch to me!

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Graudate Data Science Role

This is an excellent opportunity to join a fast-growing, data-driven insurance business that is transforming how pricing and risk are approached. With strong investment in analytics and a high-performing team already in place, you will have the chance to work on impactful pricing problems while developing your skills in a highly commercial environment.
You will join the pricing team, playing a key role in analysing customer data and supporting pricing strategy.

The Role:

• Develop and refine pricing models to optimise customer acquisition and retention
• Analyse large datasets to identify trends and inform commercial decisions
• Collaborate with stakeholders to translate business requirements into data solutions
• Contribute to model development and testing within a regulated environment
• Support ongoing improvement of pricing processes and methodologies
• Work in a fast-paced team, delivering insights with real business impact

Your Skills and Experience

• Strong academic background in a quantitative discipline such as Mathematics or Physics
• Proven ability to work with data and build analytical models
• Experience or interest in pricing, insurance, or closely related commercial analytics
• Strong problem-solving skills, with the ability to think logically and clearly
• Comfortable communicating technical ideas to non-technical stakeholders
• Strong attention to detail and a structured approach to analysis

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Senior Data Scientist – Leicester or London 1 day a week

We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.

Some of the exciting work includes:

• Alternative pricing models
• Footprint modelling / Geospatial modelling
• Residual modelling to identify gaps between predicted vs. actual claim costs
• Working with large, messy insurance datasets across multiple product lines
• Tools & tech: Python, SQL, AzureML, XGBoost
• Opportunity to mentor within the team

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Senior Data Scientist
London (Hybrid, 2 days per week)

This is an opportunity to join a high-impact data science function at a business undergoing a major AI transformation. You will play a key role in shaping how advanced machine learning and personalisation are embedded into customer products, driving measurable improvements in engagement, wellbeing, and long-term outcomes. The role offers strong ownership, exposure to senior stakeholders, and the chance to deliver production-grade AI at scale.

The Company
They are a large, well-established organisation operating in a highly data-rich, customer-focused environment. With a strong emphasis on innovation, they are investing heavily in AI and machine learning to enhance their product offering and create more personalised user experiences. Their data science teams operate in a collaborative, cross-functional model, working closely with engineering, product, and business stakeholders. The organisation promotes a culture of continuous improvement, experimentation, and responsible AI adoption.

The Role

• Lead the end-to-end delivery of data science and machine learning solutions, from scoping through to deployment and monitoring
• Design and build production-ready ML systems, including recommender systems, segmentation models, and optimisation solutions
• Translate complex business challenges into scalable, data-driven solutions with measurable impact
• Own technical delivery within a pod structure, guiding and mentoring other data scientists
• Collaborate with data engineering, software engineering, and product teams to deliver robust, scalable platforms
• Drive best practices in model deployment, version control, CI/CD, and performance monitoring
• Engage senior stakeholders to influence decision-making and support broader AI adoption across the business
• Contribute to the development of new AI-driven initiatives, including early-stage generative AI use cases

Your Skills & Experience

• Strong commercial experience in machine learning and data science, including regression and classification techniques
• Advanced Python and SQL skills, with a focus on building and deploying production-ready solutions
• Proven track record of delivering end-to-end data science projects in a business environment
• Experience working in cross-functional teams and collaborating with technical and non-technical stakeholders
• Demonstrated ability to lead projects, mentor others, and operate effectively in ambiguous environments
• Familiarity with modern ML tooling, version control, and deployment practices
• Exposure to cloud environments or generative AI is beneficial but not essential

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