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
JOIN THE HARNHAM TEAM
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
Commercial Pricing Manager
London
£45000 - £55000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
COMMERCIAL PRICING MANAGER
£45-55,000
LONDON
THE COMPANY
This unique FinTech are growing significantly and have ambitious plans for their next phase. They pride themselves on a fast-paced and dynamic environment where you can really make a difference and the customer comes before profit.
THE ROLE
- Working closely with existing and new aggregators to improve performance and funnel conversion
- Developing pricing strategy and market analysis in order to drive profitability
- Working with large data sets to spot trends, identify opportunities for enhancement and more widely track business performance
- Conducting comprehensive pricing analyses and crafting actionable recommendations based on performance insights.
YOUR SKILLS AND EXPERIENCE:
- Experience developing pricing or commercial strategies within financial services, gambling, insurance or a similar regulated industry
- Prior experience working with aggregators is desirable
- Prior work in analysing data sets and driving insights into commercial outcomes
- Some experience using SQL
SALARY AND BENEFITS
- £45-55,000 base salary depending on experience
- Flexible working model
- Company bonus
- Company pension scheme
- Private medical care
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link or email
