data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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DATA & AI SALARYÂ GUIDE 2024
For the last 12 years, the world’s largest census of professionals, managers and leaders in the data space have come together to contribute to our crucial industry research and we’d love you to take part.
Generative AI Support Specialist
New York
$60 - $75
+ Data Science & AI
ContractNew York
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Generative AI Support Specialist
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a well-established organization within the financial intelligence and analytics sector. They are investing heavily in enterprise AI capabilities and are seeking a Generative AI Support Specialist to help scale adoption, enhance user enablement, and maximize the value of generative AI technologies across the business.
- Role: Generative AI Support Specialist
- Location: New York (Hybrid, 3 days onsite)
- Pay: $60-75 per hour
- Length: 3-6 months
- Utilization: 40 hrs/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401k benefits.
As a Generative AI Support Specialist, you will serve as the organization’s subject matter expert for enterprise AI platforms, supporting business users, administering AI environments, and helping design practical AI-enabled solutions. You will work closely with stakeholders across the business to drive adoption, improve workflows, and ensure effective governance and operational excellence.
Key Responsibilities:
- Serve as the primary expert for enterprise generative AI platforms, including ChatGPT Enterprise and Claude.
- Investigate, troubleshoot, and resolve complex AI-related support requests.
- Administer enterprise AI environments, including user provisioning, permissions, analytics, and governance controls.
- Coach users on effective prompting techniques, AI best practices, and responsible AI usage.
- Partner with business teams to identify opportunities for AI-enabled process improvements and workflow optimization.
- Develop documentation, implementation guides, knowledge articles, and solution recommendations.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Machine Learning, Analytics, Engineering, or a related technical field.
- Strong hands-on experience with ChatGPT, Claude, or enterprise generative AI platforms.
- Demonstrated expertise in prompt engineering and advanced AI workflow design.
- Strong troubleshooting and technical problem-solving skills.
- Ability to work directly with business users and translate business requirements into AI-enabled solutions.
- Excellent written and verbal communication skills with the ability to manage multiple priorities effectively.
- Experience with Python, APIs, automation tools, integrations, agentic AI systems, multi-agent workflows, or Retrieval-Augmented Generation (RAG) is advantageous.
- Familiarity with enterprise AI governance and responsible AI practices.
This is an excellent opportunity for a technically strong AI professional to work at the forefront of enterprise generative AI adoption, helping shape how AI is used across a leading financial intelligence and analytics organization while delivering tangible business impact.

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Senior Data Engineer
London
£60000 - £80000
+ Data Engineering
PermanentLondon
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Senior Data Engineer
Up to £80,000
Holborn, London (4 days a week in office)
This is an exciting opportunity to join a growing AI and data-driven technology business that is building innovative products powered by advanced analytics and machine learning. You will play a pivotal role in shaping scalable data infrastructure, influencing technical direction, and delivering solutions that create measurable business impact.
THE COMPANY
They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.
THE ROLE
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining the data foundations that power a suite of AI-enabled products and analytics solutions.
Specifically, you can expect to be involved in the following:
- Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
- Build robust SQL and Python-based data solutions for production use.
- Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
- Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
- Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
- Implement monitoring, validation, data quality controls, and governance processes.
- Support the integration of machine learning outputs into production environments.
- Mentor colleagues and contribute to engineering standards, documentation, and best practice development
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong commercial experience in Data Engineering and cloud-based data platforms.
- Advanced SQL skills and experience building transformation pipelines.
- Strong Python capability for orchestration, automation, and data tooling.
- Excellent understanding of dimensional modelling and scalable data architecture.
- Experience working with cloud technologies such as Azure, AWS, or GCP.
- Knowledge of CI/CD practices, Git workflows, and deployment lifecycle management.
- Experience implementing data governance, monitoring, and quality controls.
- Ability to work effectively with cross-functional teams and communicate complex technical concepts clearly.
- A collaborative approach with strong problem-solving and stakeholder engagement skills
The successful Senior Data Engineer will receive the following benefits:
- Salary up to £80,000 – 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
Software Engineer – Treasury
London
£180000 - £200000
+ Data Engineering
PermanentLondon
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Software Engineer – Treasury
Up to £200,000
London (4-5 days a week in office)
If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.
THE COMPANY
They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.
Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.
THE ROLE
As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.
Specifically, you can expect to be involved in the following:
- Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
- Take ownership of systems and applications from development through to deployment and ongoing enhancement
- Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
- Work across a mix of modern Python services and established object-oriented codebases
- Contribute to architectural discussions and system design decisions
- Partner with teams across technology and operations to solve complex business challenges
SKILLS AND EXPERIENCE
The successful Software Engineer will have the following skills and experience:
- Strong commercial software engineering experience with Python in a production environment
- Experience with at least one object-oriented programming language such as Java, C#, or C++
- Strong SQL skills and experience working with relational databases
- Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
- Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable
BENEFITS
The successful Software Engineer will receive the following benefits:
- Salary up to £200,000 – 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
DevOps Engineer
London
£100000 - £120000
+ Data Engineering
PermanentLondon
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DevOps Engineer
Up to £120,000
London (4-5 days a week in office)
This is an opportunity for a DevOps Engineer to work at the intersection of infrastructure engineering and AI technology within a high-performance environment. You will play a key role in building and scaling modern infrastructure platforms, with a particular focus on Kubernetes and on-premise environments that support business-critical workloads.
THE COMPANY
They are a globally operating investment and technology-driven organisation with a strong engineering culture. Their teams work closely with technical and business stakeholders to deliver robust, scalable infrastructure across a complex environment.
This role offers exposure to cutting-edge AI infrastructure initiatives while remaining firmly rooted in infrastructure and platform engineering. You will join a collaborative team that values technical excellence, automation, and continuous improvement.
THE ROLE
As a DevOps Engineer you will be responsible for designing, building, and supporting infrastructure and deployment platforms across predominantly on-premise environments.
Specifically, you can expect to be involved in the following:
- Building and supporting Kubernetes platforms and containerised workloads
- Developing and maintaining CI/CD pipelines using Jenkins and GitHub Actions
- Automating infrastructure through Infrastructure as Code using Puppet or Terraform
- Managing Linux environments, including security, patching, performance, and systems administration
- Creating automation solutions using Bash, Python, or PowerShell
- Supporting software delivery, release management, and source control processes
- Working closely with infrastructure, platform engineering, and business teams to deliver scalable solutions
- Contributing to projects involving AI and high-performance infrastructure environments
SKILLS AND EXPERIENCE
The successful DevOps Engineer will have the following skills and experience:
- Strong commercial experience within DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
- Hands-on Kubernetes experience, including deployment and administration
- Proven experience working within on-premise infrastructure environments
- Strong Linux administration and troubleshooting skills
- Experience with Infrastructure as Code tools such as Puppet or Terraform
- CI/CD experience using Jenkins, GitHub Actions, or similar technologies
- Scripting experience with Bash, Python, or PowerShell
- Experience using Git-based source control tools
- Strong communication skills and the ability to work with both technical and non-technical stakeholders
- Experience working within Financial Services, Trading Technology or other regulated environments
BENEFITS
The successful Dev Ops Engineer will receive the following benefits:
- Salary up to £120,000 – depending on experience
- Up to 50% bonus
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
Senior Software Developer
London
£110000 - £160000
+ Data Engineering
PermanentLondon
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Senior Software Developer
£110,000 – £160,000
London (5 days a week in office – no flex)
This is an opportunity for a Senior C# Full Stack Engineer to join a high-performing engineering team working on complex, data-intensive systems. You will have significant ownership over technical decisions, contribute to the design of scalable software solutions, and play a key role in delivering projects that have a direct impact on the business.
THE COMPANY
They are a technology-led investment business that leverages advanced analytics, automation, and software engineering to drive decision-making. With a collaborative and highly technical culture, they have grown steadily while maintaining a strong focus on quality, innovation, and employee retention. Engineers are given the autonomy to influence projects, contribute ideas, and work closely with stakeholders across the business.
THE ROLE
As a Senior Software Developer, you will build and enhance high-performance C#/.NET applications, working across greenfield projects, real-time data systems, and complex engineering challenges.
Specifically, you can expect to be involved in the following:
- Designing, building, and optimising high-performance C#/.NET applications
- Leading the delivery of greenfield projects and enhancements to existing platforms
- Contributing to system architecture, design decisions, and performance optimization
- Developing scalable solutions that process and manage large volumes of data
- Collaborating with highly skilled engineers in a cross-functional environment
- Taking ownership of projects and contributing to ideas throughout the development lifecycle
- Mentor and support other developers while promoting engineering best practices
SKILLS AND EXPERIENCE
The successful Full-Stack Software Developer will have the following skills and experience:
- Strong commercial experience with C# and .NET
- Experience building backend systems and full stack applications
- JavaScript and modern frontend frameworks
- A strong understanding of software engineering fundamentals, architecture, and design principles
- Experience working with relational databases such as SQL Server or similar
- The ability to communicate technical concepts clearly and effectively
- A proactive approach to learning and professional development
- An interest in sports and a general understanding of how major sports are played and structured
BENEFITS
The successful Full-Stack Software Developer will receive the following benefits:
- Salary between £110,000 – £160,000 – 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
Full-Stack Software Developer
London
£70000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Full-Stack Software Developer
£70,000 – £100,000
London (5 days a week in office – no flex)
This is an opportunity to join a highly technical engineering team building business-critical software in a fast-paced, data-driven environment. You’ll work on a mix of greenfield and existing applications, contribute to complex engineering challenges, and have genuine ownership over projects from design through to delivery.
THE COMPANY
They are a growing technology-led investment business that uses advanced analytics, automation, and software engineering to support decision-making in the Sports market. With a collaborative culture and flat structure, they have built a reputation for retaining talented engineers and providing an environment where people can make a meaningful impact. Their engineering team works closely with other areas of the business, creating software that directly influences performance and innovation.
THE ROLE
As a Full-Stack Software Developer, you will build and enhance high-performance C#/.NET applications, working across greenfield projects, real-time data systems, and complex engineering challenges.
Specifically, you can expect to be involved in the following:
- Building and maintaining C# and .NET applications used across the business
- Working on both greenfield development and enhancements to existing systems
- Contributing to system architecture, design decisions, and performance optimization
- Developing scalable solutions that process and manage large volumes of data
- Collaborating with highly skilled engineers in a cross-functional environment
- Taking ownership of projects and contribute ideas throughout the development lifecycle
- Working on a variety of technical challenges across multiple concurrent initiatives
SKILLS AND EXPERIENCE
The successful Full-Stack Software Developer will have the following skills and experience:
- Strong commercial experience with C# and .NET
- Experience building backend systems and full stack applications
- JavaScript and modern frontend frameworks
- A solid understanding of software engineering fundamentals and best practices
- Experience working with relational databases such as SQL Server or similar
- The ability to communicate technical concepts clearly and effectively
- A proactive approach to learning and professional development
- An interest in sports and a general understanding of how major sports are played and structured
BENEFITS
The successful Full-Stack Software Developer will receive the following benefits:
- Salary between £70,000 – £100,000 – 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
AI/ML Engineer (Contract)
London
£460 - £550
+ Data Science & AI
ContractLondon
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AI/ML Engineer (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long
The Company
They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better understand audiences, improve content performance, and support commercial growth. As part of their expanding AI function, you will help deliver solutions that create measurable impact across the organisation.
The Role and Deliverables
- Design, develop, and deploy machine learning models into production environments.
- Build AI solutions that support audience segmentation, content recommendation, and engagement optimisation.
- Develop scalable data and machine learning pipelines to support high-volume media datasets.
- Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products.
- Implement MLOps best practices, including model monitoring, testing, and deployment automation.
- Evaluate and apply emerging AI technologies, including generative AI and large language models, where they can provide business value.
Your Skills & Experience
- Strong experience building and deploying machine learning solutions in production environments.
- Advanced Python skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with cloud technologies such as AWS, Azure, or GCP.
- Strong understanding of MLOps, CI/CD, and machine learning lifecycle management.
- Experience working with large-scale customer, audience, content, advertising, or behavioural datasets.
- Strong stakeholder engagement skills and the ability to translate business requirements into technical solutions.
- Previous experience within the media, publishing, broadcasting, streaming, or digital content sectors is essential.
How to Apply
If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.

To Apply for this Job Click Here
AI Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
AI/ML Engineer (Contract)
London
Fully Remote
Outside IR35
£400 – £500 Per Day
3 months long initially, may extended.
The Company
They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their strategy, with multiple initiatives focused on automation, personalisation, and operational efficiency. You will work within a collaborative environment where innovation is encouraged and modern machine learning technologies are actively adopted.
The Role and Deliverables
- Build, deploy, and maintain machine learning models for a range of business use cases.
- Develop scalable AI solutions that support customer, marketing, supply chain, and commercial functions.
- Work closely with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions.
- Implement MLOps best practices to support model deployment, monitoring, and performance optimisation.
- Evaluate and integrate emerging AI technologies, including generative AI and large language models where appropriate.
- Support the development of a robust machine learning infrastructure and technical roadmap.
Your Skills & Experience
- Strong experience developing and deploying machine learning models in production environments.
- Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of MLOps, CI/CD principles, and model lifecycle management.
- Experience building scalable data and AI solutions using modern engineering practices.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
- Experience within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous.
How to Apply
If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.

To Apply for this Job Click Here
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