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Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

* Proven experience with Terraform for Azure infrastructure as code.

* Strong knowledge of GitHub Actions and general CI/CD principles.

* Hands-on experience with Azure Private Link and Private Link Service.

* Expertise in Databricks and Unity Catalog for data governance.

* Solid understanding of Azure Policy and compliance enforcement.

* Strong background in identity and access management, including OAuth and federated credentials.

* Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

Lead Data Engineer/ Architect - Contract



Start date 27th October

Inside IR35

1-2 days in London office



We need a Lead data engineer who has hands on experience as a Data Architect:

You musty have in:

AWS

Glue

Sagemaker

Architect data platforms while having hands on experience



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

Data Scientist - Contract


This position involves developing AI and data science solutions to address key business challenges in the insurance sector. The work includes close collaboration with underwriters, product managers, and other stakeholders to ensure meaningful business impact. Projects may include building a digital high net worth insurance product or a portfolio analysis tool.

Key Responsibilities
* Participate in all phases of the software development lifecycle
* Design and document solutions following internal delivery frameworks
* Adhere to coding, testing, and design standards and best practices
* Collaborate with testing teams during product testing and user acceptance
* Support deployment activities across environments
* Provide regular updates on progress, risks, and issues
* Troubleshoot and resolve operational issues promptly
* Pursue certifications to enhance software engineering skills

Candidate Profile
* Familiarity with the insurance industry
* Proficiency in Python for traditional data science
* Experience with generative AI tools, especially Gemini
* Knowledge of cloud platforms such as Azure or GCP
* Ability to interpret technical design documentation
* Strong communication skills across disciplines
* Experience working in Agile environments
* Effective time management and prioritisation
* Strong analytical and problem-solving capabilities
* Comfortable working in fast-paced, ambiguous settings
* Holds a degree in Information Technology or Computer Science

London 2 days a week
Outside IR35
Need someone immediately available

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

AWS & Generative AI Engineer - 14-Week Contract (Outside IR35)

Start Date: 12th January
Rate: £350 per day
Location: Remote (UK-based)
Interview: Immediate - Offer before Christmas

We are looking for an experienced AWS & Generative AI Engineer to deliver advanced AI-driven solutions leveraging AWS services and cutting-edge LLM technologies. This is an outside IR35 contract for a 14-week engagement.

Key Responsibilities

* Design and implement Generative AI workflows using AWS Bedrock and AgentCore.
* Develop multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar).
* Integrate and fine-tune LLMs (Claude, GPT-4, or similar) for production use.
* Build RAG pipelines with vector databases and semantic search optimisation.
* Implement Model Context Protocol (MCP) and tool integration for LLMs.
* Ensure AI safety through guardrails, hallucination detection, and response evaluation.
* Deploy and manage AWS Lambda, API interfaces, and CI/CD for ML systems.

Required Skills

* AWS Bedrock (model selection, deployment, prompt engineering).
* Agentic workflows and multi-agent orchestration.
* RAG pipeline development and embedding optimisation.
* Advanced Python and AWS SDK (boto3).
* Experience with Claude, GPT-4, or similar foundation models.
* Prompt engineering and chain-of-thought reasoning.
* AI safety frameworks and evaluation metrics.

Beneficial Experience

* CockroachDB, Pinecone, or similar vector databases.
* Infrastructure as Code (CloudFormation/Terraform).
* CI/CD integration for ML systems.
* API design for LLM tool interfaces.

Why Apply?

* Fully remote
* Outside IR35
* Competitive day rate
* Immediate interviews - secure your next role before Christmas

Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

* Proven experience with Terraform for Azure infrastructure as code.

* Strong knowledge of GitHub Actions and general CI/CD principles.

* Hands-on experience with Azure Private Link and Private Link Service.

* Expertise in Databricks and Unity Catalog for data governance.

* Solid understanding of Azure Policy and compliance enforcement.

* Strong background in identity and access management, including OAuth and federated credentials.

* Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

* Proven experience with Terraform for Azure infrastructure as code.

* Strong knowledge of GitHub Actions and general CI/CD principles.

* Hands-on experience with Azure Private Link and Private Link Service.

* Expertise in Databricks and Unity Catalog for data governance.

* Solid understanding of Azure Policy and compliance enforcement.

* Strong background in identity and access management, including OAuth and federated credentials.

* Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

Job Description:
We are seeking a skilled Salesforce Field Service Lightning (FSL) Architect to join our team. The ideal candidate will have extensive experience in designing and implementing Salesforce solutions, focusing on Field Service applications. You will collaborate with cross-functional teams to enhance field service operations, optimize workflows, and drive customer satisfaction.

Key Responsibilities:

* Design and implement scalable Salesforce FSL solutions to meet business needs.
* Collaborate with stakeholders to gather requirements and translate them into technical designs.
* Integrate Salesforce with other systems to enhance functionality and data flow.
* Provide technical leadership and best practices in Salesforce architecture.
* Ensure data integrity and security across all applications and systems.
* Monitor and optimize the performance of FSL applications.
* Mentor junior team members on Salesforce best practices.

AI Engineer

Required Technical Skills

AWS & Generative AI:
- AWS Bedrock experience (model selection, deployment, prompt engineering)
- Agentic workflow experience ideally based on AWS AgentCore
- Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar)
- Large Language Model (LLM) integration and fine-tuning
- Experience with Claude, GPT-4, or similar foundation models
- Prompt engineering and chain-of-thought reasoning

RAG & Knowledge Systems:
- Retrieval-Augmented Generation (RAG) pipeline implementation
- Vector database experience (CockroachDB, Pinecone, or similar)
- Embedding model selection and optimisation
- Semantic search and similarity matching
- Context window management and chunking strategies

MCP & Tool Integration:
- Model Context Protocol (MCP) implementation
- Tool calling and function integration with LLMs
- API design for LLM tool interfaces
- AWS Lambda integration with agents

AI Safety & Evaluation:
- Guardrail implementation (hallucination detection, toxicity filtering)
- Response evaluation framework design
- A/B testing for AI systems
- Metrics definition (accuracy, latency, user satisfaction)

Programming & Development:
- Python (primary) - advanced level
- AWS SDK (boto3)
- Infrastructure as Code awareness (CloudFormation/Terraform)
- Git version control
- CI/CD integration for ML systems

Start 13th Jan

14 week Contract

Fully remote

Please send me your CV if you're interested

Job Title: Data Modeller
Location: London (Hybrid - 3 Days Onsite Per Week)
Employment Type: Outside IR35 / Contract 6 months

A leading insurance organisation is seeking a mid-level Data Modeller to support enterprise data initiatives across multiple business lines. This is a contract opportunity suited to someone who thrives in a collaborative, fast-paced environment and brings strong domain knowledge in insurance data.

Key Responsibilities

* Develop and maintain conceptual and logical data models aligned with business processes and insurance domain requirements.
* Collaborate with analysts, SMEs, and stakeholders to gather and translate requirements into scalable data models.
* Ensure consistency and integrity of data models across retail, specialist, and reinsurance lines.
* Document data structures and business rules using tools such as ERwin, PowerDesigner, or Sparx EA.
* Uphold data modelling standards and governance practices.
* Work closely with architecture and process improvement teams to ensure alignment.
* Contribute to metadata management, data lineage, and master/reference data initiatives.
* Support data quality and remediation efforts.
* Facilitate stakeholder workshops and build strong relationships with end users.
* Communicate effectively across technical and non-technical audiences.

Skills & Experience

* Minimum 5 years of experience in data modelling, ideally within the insurance sector.
* Proven experience in data governance and delivery of data models.
* Strong understanding of Master and Reference Data Management.
* Certifications such as CDMP, TOGAF, or DAMA are advantageous.
* Excellent communication and facilitation skills.
* Ability to work independently and manage priorities in a dynamic environment.

Working Arrangement

* Based in London with a hybrid working model (minimum 3 days onsite per week).
* English-speaking environment.
* Contract engagement outside IR35.

Position: Analytics Engineer



Location: London (hybrid 3 times a week)
Department: IT
Type: 3 months rolling contract
Outside IR35

The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.

Key Responsibilities

* Design and build data products, with proficiency throughout the data lifecycle.
* Develop robust data models through close collaboration with business users and the engineering team.
* Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
* Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management.
* Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
* Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
* Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers.
* To work independently and to manage multiple data tasks in a fast-paced environment
* Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making
* Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.

Requirements

* At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role
* Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies.
* Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks.
* Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP.
* Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
* Solid understanding of relevant data governance, data quality, and data security best practices
* Strong problem-solving skills, and the ability to think critically and analytically
* High experience in documentation and data dictionaries
* Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
* Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders

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