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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

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AI Engineer

London (Soho, hybrid, 2 days per week)

The Company
They are a well established media business with a significant infrastructure footprint spanning physical and digital assets. Operating across multiple verticals, they have a strong market position and continue to grow through investment and acquisition. The organisation is now rebranding and investing heavily in digital, data, and AI capabilities to modernise operations and unlock new efficiencies. Their current focus is on building internal AI use cases, with future plans to expand into customer facing products.

The Role
You will be responsible for shaping and delivering AI solutions from concept through to production within a growing function.
Key responsibilities include:
* Designing and implementing AI solutions to improve operational efficiency
* Defining LLM architecture and selecting the appropriate AI stack
* Building and deploying AI tools such as assistants and workflow automation solutions
* Developing document processing capabilities to support real world use cases such as contract and tender analysis
* Working within an Azure cloud environment and applying best practices in MLOps and DevOps
* Collaborating closely with product teams and senior leadership, including acting as a key partner to the Director of AI

Your Skills and Experience
* Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background
* Proven experience building and deploying LLM based applications in production environments
* Experience working with cloud platforms and modern deployment practices, ideally within Azure
* Knowledge of DevOps or MLOps principles
* Ability to define architecture and build AI solutions end to end
* Strong communication skills and experience working with a range of stakeholders

What They Offer
* Hybrid working with a central London office
* Opportunity to shape AI strategy at an early stage
* Exposure to large scale, real world AI challenges
* Clear progression as the AI function continues to grow

How to Apply
If you are interested in building and scaling AI solutions within an enterprise environment, apply now to find out more.

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Associate Consultant, Data and AI

London – Hybrid

The Company
They are an established international consultancy with a strong reputation across multiple industries, including healthcare, life sciences, transport and logistics. They are investing heavily in data, AI and digital capabilities, with a clear focus on building user centric, data driven products. Their approach blends strategy with execution, enabling teams to move from insight to tangible outcomes. This creates a unique environment where data professionals work closely with design and engineering teams to deliver impactful solutions.

The Role
You will contribute to both client delivery and internal innovation, working as part of a collaborative, cross functional data team.
Key responsibilities include:
* Delivering data science and analytics solutions to solve complex business problems
* Building internal tools and contributing to the development of data and AI products
* Conducting statistical analysis and regression modelling to generate insights
* Creating dashboards and visual outputs for business stakeholders
* Supporting AI workflow development, including exposure to large language models
* Working with cloud technologies, particularly Azure, to support deployment
* Collaborating with front end and UI teams to create user focused data products

Your Skills and Experience
* Strong commercial experience in data analytics, data science, or consulting environments
* Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn
* Strong SQL skills and experience working with structured data
* Solid understanding of statistical analysis and regression techniques
* Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes
* Experience working in cross functional teams, ideally alongside engineers or product teams

What They Offer
* Hybrid working with a London office base
* Structured learning and development, including dedicated time for upskilling
* Clear progression opportunities within a growing data and AI capability
* The chance to shape AI initiatives and contribute to product strategy

How to Apply
If you are keen to apply your data and AI skills in a consulting and product focused environment, apply now to learn more.

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AI Engineering Lead

UK Remote

The Company

They are a global testing, inspection, and compliance group operating across a diverse set of regulated industries. The organisation has scaled significantly through acquisition and continues to invest in long term, sustainable growth. With a portfolio of specialist businesses, they provide critical compliance and inspection services across multiple sectors. The business is at an early stage in its AI journey, with strong backing and clear intent to invest in this space.

The Role

You will lead the definition and execution of a group wide AI strategy, with full ownership over delivery and direction. Your responsibilities will include:

* Defining and implementing the organisation’s AI strategy across multiple business units

* Identifying and prioritising high impact use cases that deliver measurable value

* Designing and building AI systems, from concept through to production deployment

* Developing LLM based applications, including document processing and workflow automation

* Establishing standards for AI governance, tooling, and best practice

* Working closely with senior stakeholders to align on transformation initiatives

* Driving adoption and ensuring consistent approaches across a decentralised group structure

Your Skills and Experience

You will bring strong commercial experience in AI and software engineering, with the ability to operate both strategically and hands on. Key requirements include:

* Proven ability to deliver AI or machine learning solutions into production environments

* Strong programming capability in Python and modern AI frameworks

* Experience working with LLMs and tools such as LangChain or similar ecosystems

* Expertise in building applications including chatbots, document processing, or agent based systems

* Solid understanding of MLOps, scalable architecture, and deployment best practices

* Comfortable working in ambiguous, greenfield environments with high autonomy

* Strong stakeholder engagement skills, with experience influencing senior leaders

What They Offer

They offer a highly competitive salary with flexibility for the right candidate, alongside a performance related bonus and private medical cover. You will benefit from a remote first working model, with access to senior leadership and the opportunity to shape AI strategy at an enterprise level. This is a high impact role with clear scope for progression as AI capability matures across the group.

How to Apply

If you are interested in leading AI innovation in a greenfield environment, apply with your CV to learn more.

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AI Engineering Lead
Fully Remote, UK with occasional travel to London and Birmingham | £100,000 to £130,000 base plus bonus and benefits

This is a standout opportunity if you want to be the person who defines how AI is built and scaled across an entire organisation. You will step into a genuinely greenfield role with executive visibility, real autonomy and the mandate to turn AI from experimentation into measurable commercial value.

The Company
They are a high-growth group operating in the Testing, Inspection and Compliance space, with a global footprint across the UK, Europe, the US and APAC. Growth has been driven by an ambitious acquisition strategy, while retaining the identity and expertise of each portfolio business. AI is firmly on the leadership agenda, with multiple live proof-of-concept initiatives and clear appetite to invest further. The culture is pragmatic, low ego and refreshingly non-corporate.

The Role

• Act as the first AI Engineering Lead at group level, reporting into the COO with regular exposure to the CEO and executive team.
• Own AI strategy, architecture and delivery across a diverse portfolio of businesses and use cases.
• Take AI solutions from proof of concept through to production, focusing on commercial impact and scalability.
• Evaluate platforms, tools and vendors while setting best practice for AI engineering and deployment.
• Work closely with technical and non-technical stakeholders to identify high-value opportunities and drive adoption across the group.
• Shape the foundations of an AI function that can scale alongside ongoing acquisitions.

Your Skills & Experience

• Strong commercial experience delivering AI and machine learning solutions into production environments.
• Hands-on capability with AI engineering, including LLMs, Python-based development, system architecture and deployment.
• Confidence designing end-to-end solutions rather than isolated experiments.
• Proven ability to influence senior stakeholders and translate business problems into practical AI outcomes.
• A self-starter mindset, comfortable operating with autonomy in a fast-moving environment.

What They Offer

• Base salary of £100,000 to £130,000, with flexibility.
• Annual bonus of up to 20 percent.
• Private medical cover.
• Fully remote working with occasional UK travel.
• High-impact role with long-term progression and the chance to build something meaningful from the ground up.

How to Apply
If you are looking for a senior AI Engineering role with real influence, ownership and visibility, apply now to find out more.

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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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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

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Senior AI Platform Engineer
UK Remote | £95,000 to £130,000 plus stock options

This is a rare opportunity to take real ownership of an AI platform at a pivotal moment. You will help shape how AI is embedded into a modern SaaS product, building systems that move beyond prototypes into reliable, production-ready features used by teams every day. If you enjoy autonomy, product thinking and seeing your work land in the real world, this role offers genuine impact.

The Company
They are a remote-first SaaS business building a platform that helps product teams document, scale and govern their design systems. Used by design and engineering teams to reduce duplication and improve collaboration, the product sits at the intersection of design, code and documentation. As software development rapidly shifts towards AI-assisted workflows, the company is investing heavily in agentic and AI-driven capabilities to power the next phase of growth.

The Role
You will operate as a senior individual contributor, embedded within cross-functional product squads and owning AI-driven features end to end.

• Design and build agentic workflows that react to changes in codebases, documentation and design tools
• Develop orchestration layers that turn structured and unstructured inputs into reusable platform capabilities
• Build reliable, production-grade AI features using modern LLM frameworks and tooling
• Work across frontend, backend and AI platform layers to deliver cohesive, high-quality solutions
• Collaborate closely with product and design to ensure features are intuitive, valuable and user-focused
• Take responsibility from early discovery through to deployment and iteration

Your Skills & Experience
You are a product-minded engineer who enjoys building platforms that scale.

• Strong experience building and shipping AI-powered systems in production environments
• Hands-on experience with LLM frameworks, retrieval systems and agentic workflows
• Full stack engineering capability across frontend, backend and platform layers
• Strong React knowledge with modern patterns and a pragmatic engineering mindset
• Comfort working in fast-moving environments with ambiguity and long-term ownership

Experience with cloud platforms, deployment workflows or platform engineering is beneficial but not essential.

What They Offer

• Salary up to £130,000 plus stock options
• Fully remote working across the UK
• 4 to 6 fully expensed team meetups per year in London
• High trust environment with a strong focus on quality, ownership and thoughtful engineering
• The chance to shape the future of AI-driven product development within a growing SaaS business

How to Apply
If you are excited by building real, reliable AI systems and want to own meaningful platform work in a remote-first environment, apply to find out more.

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Associate Consultant, Data Science and AI
London Victoria | £63,000 base plus benefits and up to 20% bonus

This role stands out for the breadth, pace and impact of the work. You will sit at the heart of a growing Data Science and Analytics capability, combining consulting exposure with hands-on delivery across analytics, applied data science and AI transformation. It is a chance to build solutions that are not just advised on, but designed, built and deployed into real client environments.

The Company
They are a globally recognised strategy consultancy with a strong and expanding investment in Data Science, Analytics and AI across Europe. The organisation works across a wide range of industries and is increasingly focused on delivering practical, technical solutions alongside traditional strategy work. Their Data and Analytics team collaborates closely with consultants and a digital product group to create tools and systems with long-term impact.

The Role
You will work across both client delivery and internal innovation, gaining early ownership and exposure to varied projects.

• Deliver analytics and applied data science solutions for client engagements
• Build dashboards, perform statistical analysis and develop machine learning models
• Support AI workflow automation and internal data or AI product development
• Deploy systems directly into client environments
• Contribute to stakeholder workshops, demos and problem-solving sessions
• Work across sectors including healthcare, life sciences, transport and logistics, and financial services

Your Skills & Experience
You are a pragmatic data scientist who enjoys working in consulting-style environments and turning ideas into outcomes.

• Strong commercial Python capability with solid data science and ML foundations
• Confidence communicating complex ideas clearly to non-technical audiences
• Good coding and software engineering practices
• A proactive, self-starting approach and comfort working with ambiguity
• Interest in applied AI, automation and technology-led transformation

Experience with SQL, cloud platforms, deployment, APIs or LLM-based workflows would be beneficial but is not essential.

What They Offer

• £63,000 base salary with up to 20% annual bonus
• Hybrid working from a central London office
• Early responsibility and autonomy on high-impact work
• Exposure to AI transformation and system deployment projects
• Strong learning culture with clear progression as the team continues to scale
• Supportive, high-performing and collaborative environment

How to Apply
If you are looking for a role where your data science skills influence real decisions and real systems, apply now to learn more.

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