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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

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.

Data Science Engineer (DV Cleared)

Location: London or Manchester
Security Clearance: DV Cleared
Salary: Up to £80,000

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases.

This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.



What You'll Be Doing:

* Designing, building and maintaining scalable data processing and integration services
* Supporting Data Science and Machine Learning workloads through well‑engineered software solutions
* Developing high‑quality, testable code using modern engineering practices
* Working within secure cloud‑hosted environments
* Collaborating closely with technical and non‑technical stakeholders



What We're Looking For

Essential:

* Strong interest in data, particularly Data Science and Machine Learning
* Solid software engineering background with experience in Java, Python or TypeScript
* Hands‑on experience with cloud platforms
* DV Clearance in place



Location & Working Pattern:

* Candidates must be aligned to either London or Manchester
* Hybrid working
* On‑site attendance is required to meet client needs





Benefits Package:

* 9% non‑contributory pension
* Private healthcare
* 25 days annual leave
* Life insurance
* And more



If you're a DV‑cleared engineer passionate about data‑driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long‑term development.

AI Director - Financial Services - London - £140k

Please note - this role will require you to be UK based with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

Our client is a leading financial services organisation undergoing a major digital and data transformation. With significant investment in AI and machine learning, they are now looking for an AI Director to define and lead their enterprise‑wide AI strategy - placing Google AI technologies at the heart of their operating model.

This is a high‑visibility, high‑impact leadership role where you will shape the future of AI within a complex, data‑rich environment.

As AI Director, you will be responsible for building, scaling, and governing AI capabilities across the business. You will partner with senior stakeholders, technology teams, and data leaders to accelerate adoption of Google AI technologies while ensuring compliance, robustness, and measurable business value.

Key Responsibilities:

* Develop and own the organisation's AI strategy, with a specific focus on Google AI/Vertex AI capabilities.
* Lead the design, deployment, and optimisation of machine learning and generative AI solutions across multiple business units.
* Build and manage a high‑performing team of AI engineers, data scientists, and ML operations specialists.
* Establish governance frameworks to ensure ethical, secure, and compliant AI usage.
* Drive commercial value through automation, intelligent decisioning, predictive analytics, and GenAI‑powered workflows.
* Collaborate with C‑suite leaders to embed AI into the broader digital transformation roadmap.
* Stay ahead of industry trends, best practices, and emerging Google AI tools.

Required Experience:

You'll be an influential leader with a proven track record delivering AI at scale in regulated environments, with skills across the following areas:

* Deep expertise in Google Cloud AI stack (Vertex AI, BigQuery ML, Generative AI tools).
* Experience leading AI, ML, or data science functions within financial services or similarly regulated industries.
* Strong understanding of cloud architecture, MLOps, and enterprise‑grade AI deployment.
* Proven ability to translate complex AI concepts into commercial outcomes.
* Ability to influence at senior/executive level and drive cultural adoption of AI.
* Passionate about ethical AI, governance, and responsible innovation.

The package on offer:

* Base salary up to £140,000
* Annual bonus + extensive benefits package
* Strategic leadership role with ownership of enterprise AI vision
* Opportunity to build a greenfield AI function leveraging cutting‑edge Google technologies
* A highly supportive, forward‑thinking technology culture

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

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.