The Data And AI Podcast
This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.
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Dive deep into the world of AI, data, and analytics
Data Recruitment & AI Talent Solutions
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Power Apps Solutions Architect
Newport Beach
$55 - $65
+ Data Engineering
ContractNewport Beach, California
To Apply for this Job Click Here
Our client is seeking a Power Apps Solution Architect to lead the enterprise strategy, architecture, governance, and adoption of Microsoft Power Platform and related business application capabilities. This role serves as the end-to-end owner of the platform, responsible for ensuring secure, scalable, cost-effective, and well-governed solution delivery across business and technology teams.
This position combines platform leadership, solution architecture, and governance ownership, requiring the ability to define standards, influence stakeholders, and enable teams to deliver high-quality solutions within established guardrails.
**We will not be engaging 3rd party agencies on this opportunity.**
Key Responsibilities
Platform Strategy & Ownership
- Own and drive the enterprise Power Platform strategy, roadmap, and operating model
- Ensure alignment with enterprise priorities for security, scalability, cost efficiency, and innovation
Architecture & Solution Design
- Act as the solution architect for Power Platform, Dataverse, and Dynamics 365 initiatives
- Define reference architectures and design patterns for data modeling, integration, and security
- Provide design reviews and technical oversight to ensure consistent solution quality
Governance, Security & Guardrails
- Define and enforce platform guardrails for data access, environments, connectors, and life-cycle
- Partner with cybersecurity and infrastructure teams to ensure compliance
Environment Strategy
- Own environment segmentation, access models, and managed environments
- Implement tenant-level policies for controlled platform usage
Application Lifecycle Management
- Define ALM standards using pipelines, solutions, and DevOps
- Ensure repeatable, low-risk deployments
Platform Operations
- Define intake, design review, onboarding, and support processes
- Establish ownership and support models
Adoption & Analytics
- Leverage CoE Toolkit to monitor usage, risks, and health
- Drive continuous improvement
Copilot & AI Capabilities
- Guide adoption of Copilot Studio and AI capabilities
- Define governance for copilots and automations
Licensing & Cost Management
- Own licensing strategy and cost optimization
- Manage Pay-As-You-Go and capacity models
Stakeholder Leadership
- Partner with business and technology stakeholders
- Provide leadership reporting on adoption, risks, and roadmap
Success Measures
- Adoption of Power Platform in a controlled and scalable manner
- Reduction in security risks and unmanaged solutions
- Improved deployment reliability and ALM maturity
- Effective cost and license optimization
- Consistent enterprise platform operating model
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Edinburgh
£80000 - £90000
+ Data Science & AI
PermanentEdinburgh
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Lead ML Engineer – 12 Month FTC
Newcastle upon Tyne
£80000 - £90000
+ Data Science & AI
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Lead ML Engineer – 12 Month FTC
Liverpool
£80000 - £90000
+ Data Science & AI
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Lead ML Engineer – 12 Month FTC
Sheffield
£80000 - £90000
+ Data Science & AI
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Lead ML Engineer – 12 Month FTC
Manchester
£80000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Lead ML Engineer – 12 Month FTC
Birmingham
£80000 - £90000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £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
Databricks Data Engineer
London
£600 - £700
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Lead Databricks Data Engineer
£600 – £700 per day (inside IR35)
London, hybrid working
This freelance opportunity offers the chance to shape the future-state data platform for a large, complex financial services organisation. The focus is on moving from slow, batch-based analytics towards a more modern, streaming-led architecture, with clear ownership over data vision, use cases, and delivery direction.
The Company
They are a well-established organisation operating at scale within the UK financial services and pensions landscape. Managing significant volumes of legacy and live data, they work with both onshore and offshore delivery partners. The business is at a pivotal point in modernising how data is accessed, governed, and used to drive insight. Clear communication and pragmatic decision-making are highly valued.
The Role and Deliverables
- Define a clear end-to-end data vision, covering current state, target architecture, and practical steps to get there.
- Lead the design and development of a Databricks-based medallion architecture, with a strong focus on a robust Gold layer for analytics.
- Improve data availability by shifting from monthly batch processes towards more frequent or streaming ingestion where appropriate.
- Act as the senior technical decision-maker on data use cases, prioritisation, and trade-offs.
- Work closely with onshore teams and an offshore partner to unblock progress, clarify ownership, and accelerate delivery.
- Provide regular, clear updates to senior stakeholders, ensuring alignment on progress and next steps.
Your Skills & Experience
- Strong experience as a Lead Data Engineer within financial services, ideally pensions or a similarly regulated environment.
- Proven capability designing and delivering modern data platforms using Databricks and medallion architecture principles.
- Experience dealing with large volumes of legacy data and integrating it with modern analytics platforms.
- Confidence defining data use cases and translating business needs into technical delivery.
- Ability to lead mixed teams across onshore and offshore models and make effective resource allocation decisions.
- Excellent communication skills, with the credibility to engage senior stakeholders and drive momentum.
To Apply for this Job Click Here
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