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AI Engineer

London, in-person 5 days per week.
Competitive Salary between £160,000 and £180,000 base plus benefits.

This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace.

The Company

They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly.

The Role

• Design, build and deploy production AI models that directly power core product features.
• Work across the stack to take ideas from research and prototyping into robust, user-facing systems.
• Implement, test and optimise model evaluation pipelines to improve quality and reliability.
• Collaborate closely with engineers, product and research to design new AI features end to end.
• Contribute to architecture and infrastructure decisions in a modern cloud environment.

Your Skills and Experience

• Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure.
• Excellent Python skills and a track record of writing production-quality code.
• Experience building and deploying ML or LLM-driven systems into live environments.
• Solid software engineering fundamentals across backend and, ideally, some frontend experience.
• Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure.
• Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team.
• Strong academic background in a relevant subject and/or evidence of high-calibre research or open-source work is highly valued.

What They Offer

• Base salary up to £185000, with potential flexibility for exceptional profiles.
• Meaningful equity package, giving you real ownership in the business.
• Standard pension and a high-quality in-office environment, including weekday meals.
• Visa sponsorship available where required.
• The chance to work directly with founders and senior engineers on complex, high-impact AI problems.
• Clear progression as the team scales, with opportunities to shape technical direction and standards.

How to Apply

If you are interested in this opportunity, please apply below or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

London, in-person 5 days per week.
Competitive Salary between £150,000 and £160,000 base plus benefits.

This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace.

The Company

They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly.

The Role

• Design, build and deploy production AI models that directly power core product features.
• Work across the stack to take ideas from research and prototyping into robust, user-facing systems.
• Implement, test and optimise model evaluation pipelines to improve quality and reliability.
• Collaborate closely with engineers, product and research to design new AI features end to end.
• Contribute to architecture and infrastructure decisions in a modern cloud environment.

Your Skills and Experience

• Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure.
• Excellent Python skills and a track record of writing production-quality code.
• Experience building and deploying ML or LLM-driven systems into live environments.
• Solid software engineering fundamentals across backend and, ideally, some frontend experience.
• Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure.
• Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team.
• Strong academic background in a relevant subject and/or evidence of high-calibre research or open-source work is highly valued.

What They Offer

• Base salary up to £185000, with potential flexibility for exceptional profiles.
• Meaningful equity package, giving you real ownership in the business.
• Standard pension and a high-quality in-office environment, including weekday meals.
• Visa sponsorship available where required.
• The chance to work directly with founders and senior engineers on complex, high-impact AI problems.
• Clear progression as the team scales, with opportunities to shape technical direction and standards.

How to Apply

If you are interested in this opportunity, please apply below or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

AI and ML Engineer

London, hybrid three days a week.
Competitive salary between £60,000 and £70,000 plus benefits.

This is an exciting opportunity to join a fast‑scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer‑facing AI features, internal automation, and traditional ML models within a modern cloud environment.

The Company

They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where your work will have a clear and visible impact.

The Role

• Build and deploy AI and ML models across customer‑facing and internal product areas.
• Contribute to conversational AI and generative AI features that enhance customer engagement.
• Support traditional ML projects including segmentation, forecasting and recommendation systems.
• Develop scalable pipelines and services using Python and cloud technologies.
• Collaborate with engineering, data science and product teams to deliver end‑to‑end solutions.
• Play a key role in scaling AI capability within a lean, high‑performing team.

Your Skills and Experience

• Strong Python engineering skills with experience delivering production models.
• Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques.
• Familiarity with cloud environments, ideally GCP, but open to other platforms.
• Understanding of model deployment, microservices, and scalable data patterns.
• Ability to communicate clearly and work collaboratively across technical and non‑technical teams.
• Passion for AI and how it can drive customer experience and business value.
• STEM degree preferred, with experience in a structured engineering or data team.

What They Offer

• Competitive salary plus benefits.
• Hybrid working, typically three days per week in the London office.
• Opportunity to work across generative AI, computer vision, automation and classical ML.
• High autonomy, strong technical ownership and clear career development.
• A collaborative environment with regular interaction across engineering, data and product.

How to Apply

If this AI and ML Engineer opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI and ML Engineer

London, hybrid three days a week.
Competitive salary between £50,000 and £60,000 plus benefits.

This is an exciting opportunity to join a fast‑scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer‑facing AI features, internal automation, and traditional ML models within a modern cloud environment.

The Company

They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where your work will have a clear and visible impact.

The Role

• Build and deploy AI and ML models across customer‑facing and internal product areas.
• Contribute to conversational AI and generative AI features that enhance customer engagement.
• Support traditional ML projects including segmentation, forecasting and recommendation systems.
• Develop scalable pipelines and services using Python and cloud technologies.
• Play a key role in scaling AI capability within a lean, high‑performing team.

Your Skills and Experience

• Strong Python engineering skills with experience delivering production models.
• Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques.
• Familiarity with cloud environments, ideally GCP, but open to other platforms.
• Understanding of model deployment, microservices, and scalable data patterns.
• Ability to communicate clearly and work collaboratively across technical and non‑technical teams.
• Passion for AI and how it can drive customer experience and business value.
• STEM degree preferred, with experience in a structured engineering or data team.

What They Offer

• Competitive salary plus benefits.
• Hybrid working, typically three days per week in the London office.
• Opportunity to work across generative AI, computer vision, automation and classical ML.
• High autonomy, strong technical ownership and clear career development.
• A collaborative environment with regular interaction across engineering, data and product.

How to Apply

If this AI and ML Engineer opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London, hybrid 1 to 3 days per week.
Competitive salary between £60,000 and £70,000 plus bonus and benefits.

This is a rare opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a pivotal moment as they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency.

The Company

They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model.

The Role

• Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour.
• Build data-driven workflows that improve operational processes and automate manual tasks.
• Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants.
• Shape project plans, define requirements, and communicate insights to senior stakeholders.
• Deliver end-to-end modelling, from scoping and feature design to deployment and iteration.
• Act as the most senior data science practitioner, setting foundations for how the function will scale.

Your Skills and Experience

• Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions.
• Proficiency in Python and experience working with cloud environments, ideally Azure.
• Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes.
• Comfortable collaborating with stakeholders across commercial, operations, and technology.
• Broad skill set across supervised learning, workflow automation, and hands-on engineering.
• STEM academic background with strong analytical foundations.

What They Offer

• Competitive salary bonus and full benefits.
• Hybrid working with a minimum of one office day per week.
• The chance to build a new data science capability in a growing team.
• High visibility with opportunities to shape strategy, tooling, and delivery standards.
• Future headcount growth, including adjacent roles such as ML Ops.

How to Apply

If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London, hybrid 1 to 3 days per week.
Competitive salary between £70,000 and £80,000 plus bonus and benefits.

This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency.

The Company

They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model.

The Role

• Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour.
• Build data-driven workflows that improve operational processes and automate manual tasks.
• Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants.
• Shape project plans, define requirements, and communicate insights to senior stakeholders.
• Deliver end-to-end modelling, from scoping and feature design to deployment and iteration.
• Act as the most senior data science practitioner, setting foundations for how the function will scale.

Your Skills and Experience

• Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions.
• Proficiency in Python and experience working with cloud environments, ideally Azure.
• Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes.
• Comfortable collaborating with stakeholders across commercial, operations, and technology.
• Broad skill set across supervised learning, workflow automation, and hands-on engineering.
• STEM academic background with strong analytical foundations.

What They Offer

• Competitive salary plus bonus and full benefits.
• Hybrid working with a minimum of one office day per week.
• The chance to build a new data science capability in a growing team.
• High visibility with opportunities to shape strategy, tooling, and delivery standards.
• Future headcount growth, including adjacent roles such as ML Ops.

How to Apply

If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Decision Science

West London. £120000 to £135000 plus up to 50 percent bonus and share options. Hybrid with three days per week in the office.

You will play a central role in shaping the modelling strategy for a fast‑growing embedded finance provider. This is a chance to take full ownership of the underwriting and acquisition modelling roadmap, lead two technical teams, and influence how advanced models power customer growth across multiple international markets.

The Company

They are a data driven embedded finance organisation using partner‑supplied data and advanced modelling to deliver personalised financial products to small and medium sized businesses. Operating across the UK, Europe, and North America, they continue to scale rapidly and are investing heavily in decision science. Their environment offers the autonomy to set standards while working with high quality data and impactful lending products.

The Role

* Lead the end‑to‑end development, validation, and monitoring of underwriting and acquisition models across multiple regions.
* Set modelling standards and define what good looks like for build quality, documentation, and governance.
* Guide the long term roadmap for how models support customer acquisition, pricing, and portfolio performance.
* Oversee the integration of MLOps and model deployment into the decision science function.
* Partner with product, engineering, and commercial teams to translate model outputs into real business decisions.
* Manage model development and acquisition analytics teams, ensuring technical excellence and clear development pathways.

Your Skills and Experience

* Strong hands on experience building predictive models in Python using approaches such as gradient boosting.
* Experience working with consumer or commercial risk modelling, decision science, or similar data heavy environments.
* Ability to take a commercially minded approach to acquisition, pricing, and performance.
* Confident managing full model lifecycles including design, testing, deployment, and monitoring.
* Effective leadership and stakeholder skills within technical and non technical environments.
* MLOps or R experience is beneficial but not essential.

What They Offer

* £120000 to £135000 base salary.
* Bonus up to 50 percent, typically 30 to 40 percent.
* Share options.
* Hybrid working with three days per week in the office.
* Clear progression opportunities within a scaling, international business.

How to Apply
To be considered for this Director of Decision Science role, please apply with your CV.

To Apply for this Job Click Here

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Data Scientist – AI
Brighton (1 day per week)
£50,000 to £65,000 plus benefits

This is an opportunity for you to join a business that is building real, production‑ready generative AI products already being used by customers. You will work end to end across modelling, experimentation and deployment, shaping a platform that is scaling and evolving rapidly.

The Company

They are a growing, product‑led technology organisation developing advanced generative AI solutions used in commercial environments. Their platform has been live for several months and is gaining momentum, supported by strong investment and a collaborative, cross‑functional team. You will join a group that values experimentation, engineering rigour and continuous improvement.

The Role

* Develop, train and deploy NLP, LLM and deep learning models.
* Write production‑grade Python code and deliver end‑to‑end machine learning features.
* Work with PyTorch, cloud environments and containerised microservices.
* Build and optimise NLP components including embeddings and intent or entity recognition.
* Apply techniques such as RAG, agentic workflows and model orchestration.
* Collaborate across engineering, data and product teams to deliver reliable AI features.
* Present your work clearly and contribute to knowledge sharing across the team.

Your Skills and Experience

* Strong commercial experience in Python and production engineering.
* Hands‑on experience with LLMs, NLP or conversational AI.
* Practical exposure to deploying machine learning models into production.
* Familiarity with deep learning frameworks, cloud tooling, Docker or ECR.
* Understanding of microservices and modern ML workflows.
* Experience with reinforcement learning, RAG or agentic methods is beneficial.
* Confident communication skills and the ability to collaborate in a cross‑functional environment.
* A STEM background is preferred.

What They Offer

* Salary between £50,000 and £65,000 plus a comprehensive benefits package.
* Flexible working with one day each week onsite.
* Ownership across modelling, experimentation and deployment.
* Opportunities to grow your technical scope in a scaling, product‑focused AI environment.

How to Apply

If you are interested in this opportunity, please apply with your CV.

To Apply for this Job Click Here

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Data Scientist

Brighton, hybrid one day per week.

Salary between £55,000 – £65,000.

This is a great opportunity to join a fast‑growing team building a cutting‑edge generative AI product already live with commercial customers. You will work end to end across modelling, experimentation and deployment, shaping how AI features are built and delivered in production.

The Company

They are a scaling, product‑driven technology business with strong investment backing and a focus on applied generative AI. Their flagship AI product is already in market with growing customer adoption, and they are expanding the team to accelerate capability. You will join a collaborative cross functional unit working across engineering, product and data.

The Role

• Develop and deploy production grade Python and deep learning models.
• Build NLP and LLM features including embeddings, intent detection and conversational AI.
• Contribute to end to end pipelines using cloud services, microservices and containerisation.
• Experiment with advanced techniques including reinforcement learning and RAG workflows.
• Collaborate closely with engineering and product on delivery and performance.
• Present work clearly in team sessions and contribute to technical decision making.

Your Skills and Experience

• Strong Python skills and experience deploying ML models into production.
• Hands on experience with LLMs, NLP, embeddings and conversational AI.
• Practical experience with deep learning frameworks and cloud environments.
• Exposure to microservices, Docker and good engineering practices.
• Confident communicator able to explain technical thinking clearly.
• Background working in an AI focused role, ideally with a STEM degree.

What They Offer

• Competitive base salary.
• Private medical and full benefits package.
• On site parking.
• One day per week in the Brighton office with flexibility.
• High ownership role with impact across modelling, deployment and experimentation.

How to Apply

If you are interested in this opportunity, please apply below or email me at

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Director of Decision Science

London, hybrid (3 days in office).
Competitive salary between £130000 – £150000 plus bonus

This is a senior opportunity to lead credit decisions within a fast‑paced, product‑focused environment. You will shape modelling strategy, guide a growing team, and play a central role in driving responsible growth.

The Company

They are a high‑growth financial services business operating in the lending and embedded finance space. Data and decisioning sit at the heart of how they scale responsibly and support customers. The team is maturing and this new role joins the leadership group with strong influence across risk, product, and strategy.

The Role

• Lead credit decisioning strategy and model development.
• Stay hands on with modelling using XGBoost, GBM and related techniques.
• Oversee end‑to‑end model lifecycle from design to monitoring.
• Partner with risk, product, and engineering on decisioning and portfolio performance.
• Support a senior manager and analysts to deliver high‑quality modelling.
• Collaborate with ML engineering teams without owning ML platform strategy.

Your Skills and Experience

• Strong experience in credit risk and decision science.
• Hands on building and validating credit and scoring models.
• Solid Python and modelling skills across GBM‑style approaches.
• Understanding of risk strategy, portfolio performance and trade‑offs.
• Ability to lead while remaining practical and hands on.
• Comfortable working closely with product and senior stakeholders.

What They Offer

• Competitive base salary.
• Bonus.
• Share options.
• Hybrid working with strong cross‑team collaboration.
• A senior leadership platform with scope to shape modelling standards.

How to Apply

To discuss this role, apply below or contact me at

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Decision Science

London, hybrid (3 days in office).
Competitive salary between £120000 – £130000 plus bonus

This is a senior opportunity to lead credit decisions within a fast‑paced, product‑focused environment. You will shape modelling strategy, guide a growing team, and play a central role in driving responsible growth.

The Company

They are a high‑growth financial services business operating in the lending and embedded finance space. Data and decisioning sit at the heart of how they scale responsibly and support customers. The team is maturing and this new role joins the leadership group with strong influence across risk, product, and strategy.

The Role

• Lead credit decisioning strategy and model development.
• Stay hands on with modelling using XGBoost, GBM and related techniques.
• Oversee end‑to‑end model lifecycle from design to monitoring.
• Partner with risk, product, and engineering on decisioning and portfolio performance.
• Support a senior manager and analysts to deliver high‑quality modelling.
• Collaborate with ML engineering teams without owning ML platform strategy.

Your Skills and Experience

• Strong experience in credit risk and decision science.
• Hands on building and validating credit and scoring models.
• Solid Python and modelling skills across GBM‑style approaches.
• Understanding of risk strategy, portfolio performance and trade‑offs.
• Ability to lead while remaining practical and hands on.
• Comfortable working closely with product and senior stakeholders.

What They Offer

• Competitive base salary.
• Bonus.
• Share options.
• Hybrid working with strong cross‑team collaboration.
• A senior leadership platform with scope to shape modelling standards.

How to Apply

To discuss this role, apply below or contact me at

To Apply for this Job Click Here