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AI Engineer

Location: London
Salary: £105,000

Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



About the Role

As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



Key Responsibilities:

* Build high‑quality, scalable, maintainable Python-based applications.
* Develop and deploy AI-driven applications, including those using LLMs.
* Collaborate closely with product, design, and engineering teams.
* Contribute to solution design, architecture, and secure coding practices.
* Drive testing best practices and ensure repeatable, reliable deployments.

* Mentor and guide junior engineers; support ongoing capability development.
* Lead technical discussions, code reviews, and cross-functional collaboration.
* Influence decision‑making and contribute to policy/standards.
* Support risk management, governance, and control requirements.

* Contribute to the organisation's Generative AI strategy as a subject matter expert.
* Analyse complex, multi-source data to inform design and decision‑making.
* Communicate complex or sensitive information clearly to senior stakeholders.



Required Experience

To succeed in this role, you should have strong hands-on capability in:

* Python
* Working with Large Language Models (LLMs)
* Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
* Prompt optimisation and evaluation methodologies
* Strong communication skills, especially in cross-functional environments
* Mentoring, coaching, or guiding other engineers

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Senior Manager - Insurance | AI Delivery Lead

Engineering, AI & Data - Technology & Transformation
Location: London or Manchester - salary will vary
Contract Type: Permanent

About the Opportunity

A leading global consultancy is seeking a Senior Manager - AI Delivery Lead to support major clients in the insurance sector. This is a chance to work at the forefront of AI, data engineering, and next‑generation technology transformation, partnering with industry leaders to solve complex challenges and deliver high‑impact solutions at scale.

You'll join a collaborative community of experts focused on innovation, continuous learning, and measurable results. If you're passionate about shaping the future of AI-enabled transformation, this role offers the platform, support, and exposure to do exactly that.

What You'll Do

In this role, you will guide the delivery of cutting-edge AI and data-driven solutions. Responsibilities include:

* Working closely with clients to understand their strategic goals and design AI-driven solutions that create real business value.
* Leading multidisciplinary teams - including data scientists, engineers, developers, and analysts - throughout full project delivery.
* Managing end-to-end project lifecycle: scoping, budgeting, timelines, delivery, and stakeholder engagement.
* Bringing deep knowledge of traditional AI, Generative AI, and data science to shape high-quality, production-grade solutions.
* Ensuring ethical AI principles, data privacy, and security practices are embedded across all delivery phases.
* Staying ahead of emerging technologies and identifying where they can be applied to benefit clients.

What You'll Bring

Essential Experience

* Strong background in the insurance, financial services, or similar domain.
* Proven ability to deliver AI-enabled solutions at scale.
* Excellent project and stakeholder management capability.
* Deep understanding of AI technologies, including Generative AI.
* Experience leading diverse teams of technical and non‑technical specialists.
* Familiarity with agile delivery methodologies.

Desirable Skills

* Exposure to new and emerging AI tools and techniques.
* Confident communicator, able to translate complex concepts into compelling narratives.
* Experience designing solutions on cloud platforms.
* Knowledge of agile practices such as Scrum or Kanban.
* Data visualisation and insight storytelling skills.
* Programming experience (Python, Java, C#, etc.).

About the Team

You'll be part of an AI, Engineering & Data function focused on helping organisations reinvent their core operations. The team delivers large-scale transformations that unlock growth and improve outcomes for customers and citizens.

Colleagues describe the culture as flexible, supportive, and energised by innovation - a place where talented people come together to make an impact that matters

Please send me a copy of your CV if you meet the requirement

Azure Databricks Engineer
Lloyd's of London Market

Hybrid 2 days in London Office

We are seeking an outstanding Lead Azure Databricks Engineer to own the design, build, optimisation and governance of our enterprise cloud data platforms. This is a senior, fully hands‑on engineering position requiring deep technical expertise, strong delivery capability and experience operating within the Lloyd's of London market and its regulatory demands.

You will shape the future of our cloud data strategy, enabling advanced analytics and building secure, scalable and highly performant data solutions across the organisation.

Key Responsibilities

* Lead the development, optimisation and governance of large‑scale data platforms using Azure Data Factory, Data Lake, Key Vault, Azure Functions, Databricks, Delta Lake, PySpark and Unity Catalog
* Partner closely with underwriting, actuarial, delegated authority, bordereaux, exposure management, reinsurance, finance, Solvency II and risk teams to deliver solutions aligned to Lloyd's of London regulatory and operational requirements
* Translate complex business needs into scalable cloud data architectures in partnership with architects, SMEs and product owners
* Resolve complex technical challenges rapidly and decisively, consistently delivering high‑quality outcomes
* Champion engineering best practices including design patterns, data lifecycle management, CI/CD automation and cloud‑native methodologies
* Provide hands‑on technical leadership, mentorship and uplift engineering capability across the team
* Drive continuous improvement across performance, cost optimisation, reliability and resilience
* Oversee end‑to‑end data engineering delivery ensuring quality, observability, robustness and compliance

Required Experience and Skills

* Expert‑level knowledge of Azure Data Services and Databricks within enterprise environments
* Deep understanding of Delta Lake, Medallion architecture, distributed compute, Lakehouse patterns, data modelling and performance optimisation
* Strong Python, PySpark and SQL experience, with hands‑on implementation of CI/CD for data solutions using Azure DevOps
* Strong understanding of data governance, lineage, access management, FinOps and secure cloud engineering
* Excellent communication skills with the ability to confidently engage senior stakeholders and simplify complex technical concepts
* Proven ability to take ownership, deliver at pace and operate effectively in high‑pressure, high‑expectation environments
* Experience working within or delivering solutions for the Lloyd's of London market or similarly regulated environments

Please send me a copy if your CV if you're interested

Head of Engineering - AI‑Driven Tech Organisation - Remote

Salary: Up to £150,000
Location: Remote (UK)
Job Type: Permanent



About the Role

A rapidly scaling technology business at the forefront of AI‑assisted engineering is looking for an experienced Head of Engineering to lead three core technical areas: Web, Data, and Data Science. This role is perfect for someone excited by modern engineering practices, greenfield product development, and organisations that use AI as a core part of how they build software. If you enjoy problem‑solving in non‑traditional ways, thrive in a friendly and informal culture, and want to work with cutting‑edge AI tools (including ChatGPT and Gemini), this is an exceptional opportunity.



What You'll Be Doing

* Leading Web, Data, and Data Science teams across a large engineering organisation
* Managing multiple senior direct reports and developing strong leadership capability
* Driving engineering delivery, process quality, and technical standards
* Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications
* Working closely with the C-suite on engineering strategy and org development
* Embedding AI‑driven development workflows (70% of code is generated using AI tools)
* Supporting the build of entirely greenfield products and systems.



Key Requirements:

* Web teams
* Data engineering teams using distributed technologies (e.g., Spark)
* Data Science / ML teams

* Leadership experience over multi‑discipline engineering teams
* Strong soft‑skills leadership: coaching, clarity, communication
* Experience in high‑growth, fast‑changing environments
* A passion for AI, experimentation, and innovative engineering approaches



Why This Role Stands Out:

* Entirely greenfield work across new products and platforms
* Ultra‑modern tech stack and engineering culture
* Company is far ahead of the industry in AI adoption
* Opportunity to work with AI tools daily
* Startup mindset

Data Architect - Hybrid - London - £70,000

A public‑facing regulatory organisation is seeking an experienced Data Architect to support the design, governance, and evolution of its enterprise data landscape across Microsoft D365 and a modern medallion architecture.

This role sits within the Digital Services team and plays a key part in shaping data models, ensuring data quality, and guiding the organisation toward a consistent, well‑governed data future.



The Role

* Designing conceptual and logical data models to support new projects and enhancements.
* Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework.
* Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata.
* Championing good data architecture practices across the organisation.



Requirements:

* Microsoft background (SSIS, Dataverse, sharepoint)
* Microsoft Azure and/or Fabric
* Understanding of transactional, Kimball and OBT methodologies

Experience

* Proven experience in data architecture
* Demonstrable ability to translate business and technical requirements into robust data architecture solutions
* Experience designing transitional architectures and handling security considerations across architectural domains.

Data Architect - Databricks - Hybrid - Up to £125,000

A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence.

This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.

About the Role

As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.



Key Responsibilities

* Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
* Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
* Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
* Lead architectural engagements and ensure successful delivery of solutions on time, within scope, and to a high standard.
* Implement governance, security, and compliance controls
* Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.



Experience Required:

* Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
* Strong background in designing Lakehouse Architectures for structured and unstructured data.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
* Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.
* Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
* Proficiency in Python, Scala, or SQL.
* Knowledge of Databricks security best practices.
* Strong communication and stakeholder management skills.



What's on Offer:

* Generous annual leave
* Private medical insurance
* Wellbeing support
* Guaranteed investment in career development and training
* A high-performance culture offering progression, challenge, and meaningful impact for clients
* And more

Senior BI Developer - (UK Based)

Location: United Kingdom - Remote
Salary: £80,000 + Benefits
Employment Type: Full‑time

A leading global organisation is seeking a highly skilled Senior BI Developer to join their expanding Group IT function. This is a key role within a modern, international BI landscape, where you'll lead the design, development, and optimisation of enterprise‑wide BI solutions using Microsoft Fabric, Power BI and advanced cloud‑based data engineering technologies.

About the Role

As Senior BI Developer, you'll translate complex business requirements into scalable, high‑quality BI solutions used across multiple regions. You will design and maintain enterprise data models, architect advanced Power BI solutions, and lead development within a Microsoft Fabric Lakehouse environment. This role also acts as a technical leader within the BI practice, supporting other developers and serving as the primary escalation point for advanced BI issues.


Key Responsibilities:

* Develop and maintain enterprise‑grade Power BI reports, datasets, and data models (including star schemas and dimensional models).
* Lead ETL/ELT design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud‑based ingestion/transformation layers.
* Deliver complex SQL, Python, and PySpark solutions for large‑scale distributed processing.
* Coordinate workloads across BI developers and mentor junior and mid‑level team members.
* Ensure BI quality, governance, documentation, and performance standards are met.
* Collaborate with global teams on BI modernisation initiatives, ERP data projects, and multi‑region rollouts.


Skills & Experience

* Power BI (DAX, data modelling, composite models, dataset optimisation).
* Strong capability in Microsoft Fabric, including Lakehouse architecture, Data Pipelines, and Notebooks.
* Advanced SQL, T‑SQL optimisation, Python, and PySpark.
* Experience designing enterprise‑scale BI solutions in global environments.

Why Join?

* Work with cutting‑edge BI and cloud data technologies.
* Contribute to international BI modernisation and transformation programmes.
* Engage with global stakeholders and cross‑functional teams.
* Opportunities for international exposure and ongoing professional development.

Data Architect - Hybrid - London - £70,000

A public‑facing regulatory organisation is seeking an experienced Data Architect to support the design, governance, and evolution of its enterprise data landscape across Microsoft D365 and a modern medallion architecture.

This role sits within the Digital Services team and plays a key part in shaping data models, ensuring data quality, and guiding the organisation toward a consistent, well‑governed data future.



The Role

* Designing conceptual and logical data models to support new projects and enhancements.
* Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework.
* Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata.
* Championing good data architecture practices across the organisation.



Requirements:

* Microsoft background (SSIS, Dataverse, sharepoint)
* Microsoft Azure and/or Fabric
* Understanding of transactional, Kimball and OBT methodologies

Experience

* Proven experience in data architecture
* Demonstrable ability to translate business and technical requirements into robust data architecture solutions
* Experience designing transitional architectures and handling security considerations across architectural domains.