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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

Test Engineer

Location: London (Hybrid)
Type: Permanent

About:

An established global organisation is undergoing a significant digital modernisation programme and is looking to appoint a Test Engineer to strengthen quality assurance across its data and application landscape.

This role sits within a central IT & Digital function and plays a critical role in improving delivery confidence, system reliability and overall product quality. You'll work closely with developers and business analysts to embed structured, proactive testing throughout the delivery lifecycle.

The Role

As a Test Engineer, you will act as a quality gate across applications, integrations and data platforms, ensuring solutions are accurate, stable and fit for real‑world use.

Key responsibilities include:

* Partnering with development leads and business analysts on test planning, scenario creation and early validation of requirements
* Executing end‑to‑end functional and integration testing across applications, data platforms and APIs
* Validating data accuracy, business logic, workflows and cross‑system behaviour
* Running regression and business‑scenario testing to ensure enhancements are stable and predictable
* Leading impact assessments to identify dependencies, risks and downstream effects of change
* Conducting performance and load testing across applications and high‑volume data processing pipelines



Requirements:

* Strong SQL skills for data validation and defect investigation
* Experience testing applications built on Power Platform (Power Apps, Dataverse), SharePoint and APIs
* Experience validating data pipelines and analytics platforms
* Ability to design test cases, structure test cycles and support UAT activities

Benefits:

* Join a large‑scale digital transformation with genuine complexity and impact
* Work in a collaborative, engineering‑led environment that values quality and structure
* Competitive salary and benefits package
* Flexible working model to support work-life balance
* Strong investment in learning, development and long‑term career progression
* And more.

Senior Business & Data Analyst - Insurance

Location: London (Hybrid)
Type: Permanent

Overview

A specialist insurance organisation is seeking a Senior Business & Data Analyst to support complex data and system transformation programmes within the London Market. This role sits at the intersection of business, data, and technology, requiring strong analytical capability alongside confident senior stakeholder engagement.

Key Responsibilities

* Lead end-to-end business and data analysis across underwriting, pricing, policy administration, claims, and reinsurance
* Analyse, profile, and validate complex insurance datasets using SQL
* Define data mappings, business rules, and transformation logic
* Conduct data quality assessments and support reconciliation activities
* Facilitate workshops with business and technical stakeholders
* Act as a bridge between underwriting, claims, finance, operations, and technology teams
* Support agile delivery across multi-disciplinary teams

Required Experience:

* Proven experience as a Senior Business Analyst / Data Analyst within London Market or Lloyd's insurance
* Strong domain knowledge across Syndicates, Delegated Authority, Reinsurance underwriting and claims
* Strong SQL experience for hands-on data analysis
* Experience working on data-led transformation or platform modernisation initiatives
* Confident engaging senior business and technology stakeholders

Why Apply?

* High-impact role within complex London Market environments
* Opportunity to shape data-driven transformation
* Strong stakeholder exposure and long-term programme work

Senior Data Architect - Insurance & London Market

Location: London (Hybrid)


Overview

An established insurance organisation is looking for a Senior Data Architect to take ownership of enterprise and solution-level data architecture across London Market insurance domains. This role combines deep insurance expertise with modern cloud, analytics, and data platform architecture.

Key Responsibilities:

* Define and govern enterprise data architecture aligned to business strategy
* Design modern cloud-based data platforms using Medallion Architecture
* Produce and maintain conceptual, logical, and physical data models
* Act as a design authority, presenting architecture options and recommendations
* Define data integration and data product strategies
* Embed data governance, quality, lineage, and master data principles
* Support advanced analytics and AI-enabled data use cases

Required Experience:

* Extensive experience as a Senior / Lead Data Architect within Insurance and the London Market
* Strong knowledge of Lloyd's ecosystem, syndicates, DA, reinsurance, underwriting, and claims
* Proven expertise in cloud data platforms (Azure, AWS, or GCP)
* Strong understanding of modern data architecture patterns and data modelling
* Experience operating at enterprise or cross-domain level
* Excellent senior stakeholder communication skills

Why Apply?

* Strategic, high-visibility architecture role
* Influence long-term data and analytics direction
* Work on large-scale, complex insurance transformations

Senior business & data analyst - Hybrid role in insurance - £80k

A global consultancy is seeking a senior business & data analyst to support data and system transformation initiatives across the London Market insurance space. This role sits across business data and technology, driving analysis and delivery across Syndicate, Delegated Authority and Reinsurance and Ceceded Reinsurance portfolios.

Key Responsibilities

* Lead end-to-end business and data analysis across multiple insurance domains.
* Perform detailed data analysis, profiling, reconciliation and validation using SQL and analytical tools.
* Conduct data quality assessments to define data quality rules and remediation approaches.
* Analyse existing reports, extracts, and data flows.

Skills & Experience

* Speciality in reinsurance - preferably in Syndicate, Delegated Authority and] Policy underwriting
* Data analysis experience in SQL servers.
* Data mapping
* Data quality
* Data profiling

What they offer:

* Base Salary of £70-80k
* 15% Flex
* Up to 20% bonus

VP Data Lead Business Analyst - Banking

Location: London
Salary: Up to £100,000 + bonus

A leading Bank is seeking a VP Data Lead Business Analyst to join a brand‑new function within their central data organisation. This is a strategic role positioned at the heart of the bank's data ecosystem, supporting global trading functions and driving the evolution of a key enterprise‑wide data platform.

About the Role:

You will sit within the central data team responsible for the bank‑wide data store used for all trade capture across the Investment Bank. With 70 projects running annually, this is a high‑impact, fast‑moving environment where you will work across multiple asset classes and be involved in both short‑term and long‑term transformation initiatives.

* Supporting the migration and onboarding of internal consumers onto the central data store.
* Conducting analysis on data needs, flows, and integration requirements.
* Partnering with global business and technology teams as the function scales.

Longer‑term, the team is also beginning to explore AI/ML capabilities, giving excellent exposure to emerging initiatives.

What they're Looking for:

* Experience working within Investment Banking, ideally covering Equity Derivatives, FX, Securities, or Rates.
* Strong understanding of trade lifecycle, derivatives concepts, and market data.
* Ability to work in a central data or cross‑asset environment, managing multiple stakeholders.
* A proactive, analytical mindset suited to a high‑volume project pipeline.

Why Apply:

* Join a brand‑new hire in a strategically important function.
* Step up into a VP‑level role with senior leadership visibility.
* Influence the data strategy for an Investment Bank undergoing major modernisation.
* Work across all trading areas while shaping how consumers interact with the firm's core data platform.