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Lead AI Engineer

London (Hybrid, 1 to 2 days per week)

The Company
They are a leading UK consumer-focused financial services business with a broad product portfolio and millions of customers. Operating at scale, they are investing heavily in AI to enhance customer experience, drive efficiency, and strengthen risk and fraud capabilities. A new generative AI team is being built to sit within a broader AI and MLOps function, moving from contractor-led delivery to a permanent, strategically aligned capability. This is a high-visibility area with strong internal demand and clear executive backing.

The Role
You will lead the design and delivery of AI solutions that directly impact core operations and customer journeys.

• Own end-to-end delivery of AI systems, from problem definition through to production
• Design and deploy LLM and RAG-based solutions, including chat assistants for customer support and contact centre optimisation
• Drive automation across complaints handling, triage, fraud detection, and customer data workflows
• Define architecture and make decisions around build versus buy solutions
• Work closely with engineering, product, and risk teams to ensure compliant and scalable solutions
• Implement robust MLOps practices including monitoring, evaluation, and system reliability

Your Skills & Experience

• Strong commercial experience delivering production-grade AI systems end to end
• Deep expertise in generative AI, including LLMs, RAG, and agent-based systems
• Solid software engineering background with experience in scalable system design and APIs
• Hands-on experience with MLOps, including deployment, monitoring, and lifecycle management
• Proven ability to lead multiple AI initiatives and deliver measurable business outcomes
• Experience working in large, complex organisations with high data volumes

What They Offer

• Competitive pension and benefits package
• Hybrid working with flexibility
• Opportunity to shape a new AI capability within a large organisation
• Clear progression as the AI function scales

How to Apply
If you are interested in leading AI innovation in a high-impact, enterprise environment, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London (Hybrid, 2 days onsite)

The Company
They are a large, established organisation operating at scale, with a strong focus on using data and AI to drive innovation across their products and services. The business is undergoing a significant AI transformation, with over ten active AI initiatives spanning areas such as automation, personalisation, and internal tooling. Their data science function is at the core of this journey, working closely with product and engineering teams to deliver tangible impact.
The environment is fast-paced and collaborative, with a strong emphasis on building production-ready AI solutions and embedding them into core business processes.

The Role
As a Senior Data Scientist, you will focus on delivering AI solutions that drive automation and efficiency across the organisation. You will take ownership of key projects and work across the full model lifecycle in a production environment.

• Lead the development and deployment of AI and machine learning solutions across multiple business areas
• Own and deliver end to end AI initiatives, from problem definition through to production
• Work on a range of use cases including internal chatbots, LLM applications, summarisation tools, underwriting automation, and AI sales assistants
• Collaborate with product managers and engineers to ensure solutions are scalable and aligned to business needs
• Implement and maintain MLOps best practices, including monitoring and model lifecycle management
• Engage with senior stakeholders, translating technical outputs into clear business value
• Contribute to the ongoing development of AI capability across the team

Your Skills and Experience

• Strong commercial experience in data science with a recent focus on AI and machine learning
• Proven experience building and deploying production-level AI solutions
• Experience working with GCP and modern cloud-based data environments
• Hands-on experience with MLOps, including deployment, monitoring, and scaling models
• Exposure to generative AI techniques such as LLMs and Retrieval Augmented Generation
• Strong stakeholder management and communication skills across technical and non-technical teams
• Experience working in larger, complex organisations with multiple concurrent workstreams

What They Offer

• Competitive pension scheme
• Private healthcare
• Hybrid working with two days per week in their London office
• Opportunity to work on high-impact AI initiatives with real business visibility
• Clear progression within a growing and strategically important team

How to Apply
If you are interested in applying your data science and AI expertise in a high-impact environment, please get in touch to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Analytics Engineer (12-month FTC)

£70,000 – £90,000

Remote (UK Based – meets in Farringdon, London once every 6 months)

A unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation using data to improve real-world outcomes. This position offers the chance to take ownership of critical data models and pipelines, working in a modern cloud data stack while collaborating closely with engineering and analytics teams. You will play a key role in ensuring continuity across core data products while contributing to new development.

THE COMPANY

They are an e-Health provider operating within a highly regulated, data-rich environment. Focused on delivering meaningful outcomes at scale, they combine clinical expertise with modern data capabilities to continuously improve services. Their data function is central to decision-making, with a strong emphasis on quality, governance, and impact. The team is collaborative, remote-first, and values thoughtful, well-engineered solutions.

THE ROLE

As an Analytics Engineer you will step into an established Analytics Engineering function, maintaining momentum across critical projects while contributing to the ongoing development of the data platform.

Specifically, you can expect to be involved in the following:

• Take ownership of in-flight data projects, ensuring successful delivery and continuity.
• Design, build, and maintain dbt models including fact and dimension tables and semantic layers.
• Support the development of scalable data models with clear structure and strong data governance.
• Collaborate with data engineers to evolve pipelines across the data lifecycle.
• Review and improve SQL and modelling best practices across the analytics team.
• Contribute to the transition from prototype analysis to production-grade data assets.
• Ensure documentation and handover processes are clear and well-structured.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience working with dbt, including building models and implementing testing frameworks.
• Advanced SQL skills with experience working in modern cloud data environments.
• Solid understanding of data modelling principles including star schema design and data grain.
• Experience working with Python in a data context.
• Ability to collaborate across teams and influence technical decisions constructively.
• Comfortable working within structured, governed data environments
• Desirable experience includes exposure to Databricks, CI/CD workflows, or regulated industry data, though this is not essential.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

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

Staff Engineer
London (Liverpool Street – 3x week) | £120,000 – £160,000 + benefits
This is a rare opportunity to shape the technical core of a fast-scaling data platform backed by private equity. You will work directly with the CTO to unify multiple data businesses into a single AI-native platform, combining hands-on engineering with strategic influence at board level. If you enjoy solving complex data challenges at scale and building from first principles, this role offers significant scope and impact.
The Company
They are a growing data platform business built through the acquisition of specialist data companies across multiple markets. Backed by a well-established private equity partner, they are scaling quickly and expanding their global footprint. Each business within the group brings unique datasets and capabilities, and the long-term vision is to unify these into one intelligent, AI-driven platform. The organisation combines technical ambition with a pragmatic, commercially focused approach to growth.
The Role
You will act as a technical partner to the CTO, helping to define and deliver a unified data platform across the group. This role blends hands-on engineering with leadership and strategic input.

• Build and lead the development of a centralised, AI-native data platform
• Design and implement scalable data systems, APIs, and integration layers
• Lead technical due diligence and post-acquisition integration of new businesses
• Establish AI engineering standards and best practices across the group
• Develop and deploy AI-driven tools and agents to improve data quality and velocity
• Contribute directly to production code while shaping platform architecture
• Engage with senior stakeholders, including presenting technical strategy at board level
• Support the gradual growth of a high-performing, small engineering team

Your Skills & Experience

• Strong commercial experience building and scaling data platforms, APIs, or data products
• Hands-on programming expertise with Python, SQL, and TypeScript
• Ability to operate across both engineering delivery and high-level architecture
• Experience working with large, complex datasets and data pipelines at scale
• Comfortable navigating hybrid environments including cloud and on-premise systems
• Strong communication skills, with the ability to engage technical and non-technical stakeholders
• Commercial awareness and an understanding of how data products drive business value
• Background as a senior individual contributor or technical leader in high-impact environments

What They Offer

• Opportunity to work directly with senior leadership and influence business-critical decisions
• Exposure to private equity-backed growth and acquisition strategy
• Significant scope to build and shape a platform and team from an early stage
• Benefits package to be confirmed

How to Apply
If you are interested in this opportunity, please submit your CV to discuss further

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Engineer (12 Month Fixed-Term Contract)

Remote (UK) | £70,000 to £90,000

This is an opportunity to step into a high-impact Analytics Engineer role within a purpose-led organisation working at the intersection of data, technology, and real-world outcomes. You will take ownership of critical data models and analytics workflows, ensuring continuity and delivery across key projects while contributing to the evolution of a modern data platform.

The Company

They are a data-driven organisation focused on delivering meaningful impact through advanced analytics and technology. Operating in a highly regulated environment, they combine strong technical foundations with a collaborative, values-led culture. Their data platform is mature in parts and evolving in others, creating opportunities to shape best practices and standards. The team works remotely with a flexible approach, prioritising outcomes and quality over process-heavy environments.

The Role

You will take ownership of the analytics modelling layer, working closely with data engineers and analysts to ensure high-quality, production-ready datasets and reporting outputs. Key responsibilities include:

• Owning and delivering in-flight analytics and data modelling projects
• Designing, building, and maintaining dbt models across fact and dimension layers
• Developing scalable data models with clear grain and schema design principles
• Collaborating with data engineering to support end-to-end data workflows
• Reviewing and improving SQL and dbt work from analysts, ensuring best practice adoption
• Supporting the transition from prototype analysis to production-grade data assets
• Maintaining high standards of documentation, testing, and metadata

Your Skills and Experience

• Strong commercial experience working with dbt in a modern data environment
• Advanced SQL skills with the ability to optimise and review complex queries
• Experience working with Python in data workflows
• Strong understanding of data modelling, including star schema design and data warehousing concepts
• Confidence in reviewing and improving others’ work, with a collaborative approach to problem-solving
• Ability to communicate technical decisions clearly and work effectively with both technical and non-technical stakeholders

What They Offer

• Generous holiday allowance plus bank holidays
• Private healthcare and wellbeing support
• Home office setup support
• Opportunity to work on meaningful, high-impact data projects
• A collaborative environment with strong technical ownership and autonomy

How to Apply

If you are an experienced Analytics Engineer looking for your next contract opportunity, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineering Manager

London (Covent Garden – 4 x week) £100,000 to £120,000

This is a unique opportunity to join a high-performing value creation team within a private equity environment, where data sits at the centre of commercial decision-making. You will play a key role in shaping how portfolio businesses leverage data, analytics, and AI to drive measurable growth, working across strategy and hands-on delivery.

The Company

They are a specialist private equity firm focused on investing in lower mid-market businesses. Their model centres on driving value through operational improvement, with a dedicated internal team focused on data, analytics, and AI initiatives across the portfolio. The environment is collaborative, commercially driven, and offers strong exposure to senior stakeholders across multiple businesses.

The Role

You will work across a portfolio of companies, delivering impactful data projects from inception through to implementation.

• Partner with senior leadership including C-suite stakeholders to define data strategies and priorities
• Design and build modern data platforms, including ingestion pipelines and scalable architectures
• Deliver data collection, transformation, and analytics frameworks to support business growth
• Identify and implement high-value analytics and AI use cases
• Translate commercial challenges into technical solutions with clear business outcomes
• Balance hands-on engineering work with strategic input across multiple projects
• Operate as a trusted voice of authority across both technical and non-technical teams

Your Skills and Experience

• Strong commercial experience in data engineering within complex or fast-paced environments
• Advanced SQL and Python, with end-to-end ownership of data pipelines and architecture
• Experience designing and delivering modern data platforms and ingestion frameworks
• Strong understanding of analytics and how data drives business value
• Ability to communicate effectively with senior stakeholders and influence decision-making
• Experience working across both strategy and delivery, with a pragmatic approach
• Exposure to AI or machine learning use cases is beneficial
• Comfortable working across multiple projects and adapting to different business contexts

What They Offer

• High-impact role with exposure to senior leadership and strategic initiatives
• Strong work-life balance with a collaborative and supportive culture
• Office based in Covent Garden with a hybrid model (four days in office)
• Opportunities to work across diverse industries and complex data challenges
• Clear progression opportunities within a growing function

How to Apply

If you are interested in this role, please submit your application for consideration.

To Apply for this Job Click Here