To Apply for this Job Click Here

Lead AI Engineer

£80,000 – £90,000

Sheffield (Hybrid, 1-2 days a week)

A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility.

THE COMPANY

They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment

THE ROLE

As a Lead AI Engineer you can expect to be involved in the following:

• Build production-ready AI agents on GCP using modern frameworks and Google’s ADK.
• Develop scalable RAG pipelines spanning ingestion, text processing and vector search.
• Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs.
• Implement monitoring, evaluation, A/B testing and cost or latency dashboards.
• Contribute to broader AI architecture and help shape engineering patterns and strategy.
• Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery.
• Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling.
• Strong Python skills and experience developing APIs and production AI systems.
• Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks.
• Familiarity with LangChain, LangGraph or similar agentic frameworks.
• Solid engineering fundamentals including Docker, Kubernetes and CI/CD.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience
• Hybrid working with 1-2 office days in Sheffield.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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

Principal Data Engineer

Up to £80,000

Leeds (Hybrid)

This is an opportunity to take technical ownership in a growing data function. You will guide engineering standards, lead cloud and platform modernisation, and have influence over future strategy.

THE COMPANY

This established organisation is investing heavily in modern data platforms and scalable engineering practices. With a cloud‑first mindset and a collaborative culture, they are building the foundations for advanced analytics and machine learning.

THE ROLE

In this Principal Data Engineer role, you will:

• Lead the migration to modern cloud platforms, such as Azure which is enabling the business to do Machine Learning and Analytics.
• Mentor and upskill junior engineers, promoting engineering standards.
• Work with Terraform and Databricks to deliver scalable, governed data solutions.
• Support the development of data pipelines.

SKILLS AND EXPERIENCE

The successful Principal Data Engineer will have the following skills and experience:

• Strong commercial experience working with Azure.
• Proficient in Databricks and Terraform.
• Confident mentoring and guiding engineers across teams.
• Exposure to containers and Kubernetes is advantageous.
• Awareness of ML Ops principles is beneficial.

BENEFITS

The successful Principal Data Engineer will receive the following:

• Salary up to £80,000 – depending on experience.
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL DATA ENGINEER

£80,000 + BENEFITS

LEEDS (Hybrid)

Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?

THE COMPANY:

I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.

THE ROLE:

It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.

• Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
• Support the migration from legacy platforms to a more modern cloud stack
• Act as a mentor and technical guide to the wider engineering team
• Implement data governance requirements
• Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
• Stay close to the ML lifecycle

YOUR SKILLS AND EXPERIENCE:

A successful Principal Data Engineer will have the following skills and experience:

• Strong hands-on experience with Azure
• Proficient in Databricks
• Skilled in Terraform and Infrastructure as Code practices
• Exposure to containers/Kubernetes
• Awareness of ML Ops concepts

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL DATA ENGINEER

£80,000 + BENEFITS

LEEDS (Hybrid)

Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?

THE COMPANY:

I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.

THE ROLE:

It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.

• Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
• Support the migration from legacy platforms to a more modern cloud stack
• Act as a mentor and technical guide to the wider engineering team
• Implement data governance requirements
• Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
• Stay close to the ML lifecycle

YOUR SKILLS AND EXPERIENCE:

A successful Principal Data Engineer will have the following skills and experience:

• Strong hands-on experience with Azure
• Proficient in Databricks
• Skilled in Terraform and Infrastructure as Code practices
• Exposure to containers/Kubernetes
• Awareness of ML Ops concepts

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here