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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Forward Deployed Engineer
New York
$105000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Forward Deployed Engineer (AI & Data Platforms)
New York, NY – Hybrid 3 days a week on site
Up to $220,000 Base Salary + Benefits (dependant on residing state & level of experience)
US Citizen or Green Card holders – visa sponsorship unavailable now or in the future
I’m partnering with a leading consulting organization that is expanding its AI and Data Transformation practice and is seeking a Senior Forward Deployed Engineer to help deliver cutting-edge AI and data solutions within enterprise client environments.
This is a highly client-facing role where you’ll work directly with business and technical stakeholders to build, deploy, and optimize data and AI solutions that drive measurable business outcomes.
What You’ll Be Doing
- Lead end-to-end technical workstreams from discovery through deployment.
- Build and maintain production-grade Python and SQL data pipelines.
- Configure and optimize enterprise data and AI platforms.
- Work closely with engineering, data, and business teams to deliver scalable solutions.
- Drive user adoption through enablement, documentation, and technical leadership.
- Mentor junior team members and contribute to delivery best practices.
What We’re Looking For
- 5+ years of experience in client-facing, consulting, or embedded engineering roles.
- Strong hands-on experience with Python and SQL in production environments.
- Experience building and maintaining modern data pipelines and workflows.
- Background working with enterprise data platforms (Palantir Foundry experience is highly desirable).
- Proven ability to navigate ambiguity and deliver solutions independently.
- Strong communication skills with the ability to partner directly with client stakeholders.
Why Consider This Opportunity?
- Work on innovative AI, GenAI, and data transformation initiatives.
- Join a growing practice focused on solving complex enterprise challenges.
- Exposure to senior business and technology leaders across multiple industries.
- Opportunity to influence the adoption of next-generation AI solutions at scale.
Compensation: Up to $165,000 base salary, plus comprehensive benefits package.
If you’re interested in leveraging AI, data engineering, and client engagement experience to deliver high-impact solutions, I’d love to connect.
#DataEngineering #AI #GenAI #Palantir #Python #SQL #ConsultingJobs #Hiring #RemoteJobs
To Apply for this Job Click Here
ML Platform Engineer
Los Angeles
$60 - $80
+ Data Science & AI
ContractLos Angeles, California
To Apply for this Job Click Here
ML Platform Engineer
Remote 6 month contract
This is an opportunity to join a high-impact AI platform project, helping to build and scale the infrastructure that enables machine learning models to be deployed, monitored, and operated in production. You’ll work across MLOps, Kubernetes, GPU inference, and modern AI tooling, contributing to a platform that supports the full machine learning lifecycle.
The Company
They are a technology-focused organisation investing in machine learning and AI platform capabilities. Their engineering teams are building scalable infrastructure that enables rapid experimentation, reliable model deployment, and efficient operational workflows. The environment is collaborative, technically driven, and focused on delivering reusable solutions that improve productivity across engineering and machine learning teams.
The Role and Deliverables
- Build and enhance ML platform infrastructure supporting the end-to-end machine learning lifecycle.
- Design and implement deployment workflows for machine learning models in cloud-native environments.
- Develop and maintain CI/CD pipelines for ML artefacts and production deployments.
- Support GPU inference workloads using technologies such as NVIDIA Triton and KServe.
- Build observability, monitoring, and metrics tooling for production services and microservices.
- Enable scalable Kubernetes-based infrastructure, including cluster management and automation.
Your Skills & Experience
- Strong experience working with Kubernetes in production environments.
- Strong machine learning, MLOps, or ML platform engineering background.
- Experience building and maintaining CI/CD pipelines.
- Track record deploying and operating machine learning models at scale.
- Hands-on experience with NVIDIA Triton, KServe, or similar model serving technologies.
- Understanding of GPU orchestration and inference infrastructure.
- Exposure to agentic AI coding systems or AI-assisted developer tooling.
- Ability to work autonomously, ask insightful technical questions, and operate effectively in fast-moving environments.
- Gaming industry experience is advantageous but not essential.
To Apply for this Job Click Here
Senior ML Platform Engineer
Remote
$60 - $80
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Senior ML Platform Engineer
Harnham is partnering with a leading technology organization to hire a Senior ML Platform Engineer to help build and scale next-generation machine learning infrastructure.
- Role: Senior ML Platform Engineer
- Location: Remote (PST Preferred)
- Rate: $60 – $80 per hour W2
- Length: 6 months
- Benefits: W2 employees eligible for health, dental, vision, and 401(k)
You’ll help build and operate a modern ML platform, enabling teams to deploy, monitor, and manage machine learning models at scale. Working closely with ML Engineers and Data Scientists, you’ll create reliable infrastructure that supports production AI systems across CPU and GPU environments.
Key Responsibilities
- Build and maintain ML inference and deployment infrastructure.
- Develop CI/CD pipelines for machine learning workloads.
- Support Kubernetes-based production environments.
- Implement monitoring, observability, and model performance tracking.
- Improve platform automation and developer experience.
- Partner with engineering teams to productionize ML models.
- Contribute to architecture and platform engineering decisions.
Requirements
- 4+ years of software engineering, platform engineering, or MLOps experience.
- Strong Kubernetes and cloud infrastructure experience.
- Experience with ML serving technologies such as Triton, KServe, TorchServe, BentoML, or Seldon Core.
- Strong Python development skills.
- Experience with CI/CD, Infrastructure as Code, and containerized environments.
- Knowledge of machine learning workflows and MLOps best practices.
- Experience supporting real-time production ML systems.
This is an excellent opportunity for an experienced ML Platform or MLOps Engineer looking to build scalable AI infrastructure, work with cutting-edge machine learning technologies, and help shape the future of ML operations within a high-performing engineering environment.
To Apply for this Job Click Here
Lead AI Architect
Chicago
$180000 - $200000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Lead AI Architect
Chicago, IL (4 days onsite per week, Monday-Thursday)
$180,000-$200,000 base salary + annual bonus
THE COMPANY
Our client is a highly respected middle-market private investment firm with a strong track record of partnering with founder-led businesses. With a collaborative, entrepreneurial culture and a reputation for integrity, the firm is investing heavily in AI and digital transformation to enhance decision-making, productivity, and operational excellence across the business.
This is a unique opportunity to become the organization’s first dedicated AI Architect/Solutions Lead, working directly with senior leadership to shape and execute the firm’s AI strategy while delivering tangible business impact.
RESPONSIBILITIES
- Identify and evaluate high-impact business workflows across investment, operations, investor relations, and corporate functions that can be enhanced through AI and automation.
- Partner with stakeholders to understand existing processes, quantify business value, and prioritize opportunities for improvement.
- Design, build, and deploy AI-driven solutions, agents, and workflow automations using modern LLM technologies and cloud-based platforms.
- Drive adoption of AI tools by supporting change management, user training, stakeholder engagement, and ongoing feedback collection.
- Collaborate with technical teams to establish scalable and sustainable AI capabilities across the organization.
- Help develop and maintain data and document governance standards, including file structures, taxonomy, naming conventions, and information management best practices.
- Monitor solution effectiveness and continuously improve tools based on user behavior, business outcomes, and stakeholder feedback.
SKILLS AND EXPERIENCE
Required
- 5+ years of experience in AI, automation, business intelligence, analytics, digital transformation, consulting, or a related field.
- Hands-on experience building AI workflows, AI agents, or LLM-powered solutions using platforms such as OpenAI, Anthropic, Microsoft Copilot, Azure AI, or similar technologies.
- Strong ability to translate business challenges into practical technology solutions.
- Experience engaging directly with business stakeholders and managing cross-functional projects from concept through deployment.
- Excellent communication skills and the ability to explain technical concepts to non-technical audiences.
- Strong problem-solving mindset with a focus on execution, outcomes, and continuous improvement.
- Experience working with cloud platforms and modern data environments such as Azure, Databricks, Snowflake, or equivalent.
Preferred
- Experience within consulting, financial services, private equity, investment management, or other fast-paced, client-facing environments.
- Exposure to data governance, information architecture, and enterprise productivity tooling.
- Experience supporting change management and enterprise-wide technology adoption initiatives.
BENEFITS
- Competitive base salary of $180,000-$200,000
- Annual performance-based bonus opportunity
- High visibility role with direct exposure to senior executives and business leaders
- Opportunity to build and shape AI capabilities from the ground up
- Entrepreneurial, collaborative culture with significant ownership and autonomy
- Clear opportunity for professional growth as the firm’s AI function evolves
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
KEY TERMS
AI Solutions Lead | AI Architect | Artificial Intelligence | Generative AI | LLMs | AI Agents | Automation | Digital Transformation | Azure | Databricks | Microsoft Copilot | OpenAI | Anthropic | Workflow Automation | Data Governance | Business Intelligence | Change Management | Consulting | Financial Services | Private Equity | Chicago Jobs | Hybrid Working
To Apply for this Job Click Here
Senior Data Analytics (Customer Analytics)
London
£400 - £401
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
(Contract) Senior Data Analyst
London | Inside IR35
This is an excellent opportunity to join a well-established consumer-focused organisation during a period of transformation. You’ll play a key role in delivering business-critical reporting and customer analytics, helping stakeholders make informed decisions while supporting a busy analytics function as the permanent team is rebuilt.
The Company
They are a customer-focused organisation operating across multiple channels and locations, with a strong emphasis on data-driven decision making. Their analytics team supports a wide range of stakeholders by providing insight into customer behaviour, performance metrics and operational reporting. As a contractor, you will have the opportunity to make an immediate impact by ensuring the delivery of accurate, actionable analysis.
The Role and Deliverables
- Deliver regular reporting, KPI tracking and customer analytics across multiple business channels and locations.
- Work closely with analysts and stakeholders to understand reporting requirements and business needs.
- Produce insights using SQL and Excel to support decision making across the organisation.
- Support executive reporting through the delivery of accurate and timely performance analysis.
- Investigate data anomalies, identify root causes and ensure reporting quality and integrity.
- Highlight opportunities for deeper analysis and additional business insight where appropriate.
Your Skills & Experience
- Strong SQL skills with the ability to extract, manipulate and analyse data effectively.
- Advanced Excel experience for reporting, analysis and data validation.
- Strong experience producing reporting and analytics for business stakeholders.
- Proven ability to investigate data issues and maintain a high level of accuracy and attention to detail.
- Comfortable working with large, complex or imperfect datasets.
- Ability to translate data into clear, meaningful business insights.
- Strong analytical mindset with a curious and proactive approach to problem solving.
- Comfortable working in a fast-paced environment where priorities can change.
- Experience with Python and Snowflake is beneficial.
- Experience within retail, customer-facing industries, or customer analytics environments is advantageous.
How to Apply
If you’re a contract Data Analyst with strong SQL and Excel skills and experience delivering business reporting and customer analytics, please apply to discuss this opportunity in more detail.
To Apply for this Job Click Here
Customer Experience Optimisation Manager (CRO)
London
£55000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Customer Experience Optimisation Manager
London (Hybrid)
Up to 60k
This is a high impact opportunity to lead a data led customer experience and CRO function within a digitally focused organisation. You will own the optimisation of end to end customer journeys, using experimentation, insight, and innovation to drive measurable commercial outcomes.
The Company
They are a well established, customer centric organisation operating across multiple digital brands and markets. Customer experience sits at the core of their growth strategy, supported by strong investment in data, technology, and experimentation. The business fosters a collaborative environment where cross functional teams work closely to deliver continuous optimisation.
The Role
Be part of CRO and customer experience agenda, driving optimisation across the full digital journey while influencing strategic decision making.
- Own and optimise the end to end digital customer journey with accountability for conversion and revenue performance
- Develop and execute a data led experimentation and CRO roadmap across multiple products and markets
- Use analytics, customer insights, and testing tools to identify opportunities and prioritise high impact improvements
- Deliver and scale AB testing and experimentation programmes across digital platforms
- Collaborate closely with product, UX, engineering, and marketing teams to deliver optimisation initiatives
- Define and track key customer experience and performance metrics, presenting insights to senior stakeholders
- Champion a culture of experimentation, continuous improvement, and customer centricity
Your Skills and Experience
- Commercial experience in customer experience, CRO, or digital product optimisation
- Proven track record of driving measurable impact through experimentation and data led decision making
- Hands-on experience with analytics and testing tools such as Google Analytics, Optimizely, or similar
- Understanding of UX principles, customer journeys, and personalisation strategies
- Experience working cross functionally with stakeholders
- Familiarity with experimentation frameworks and optimisation roadmaps
- Experience within a highly regulated industry would be beneficial
What They Offer
- Performance bonus
- Hybrid working model with flexibility
How to Apply
If you are interested please apply with your CV.
To Apply for this Job Click Here
Director of Data Research
London
£100000 - £150000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Director of Data Research
This is an opportunity to lead a data research function at a business that helps investment professionals make data-driven decisions. You will combine strategic leadership with hands-on technical expertise, evaluating new data assets, shaping research initiatives, and building scalable capabilities that influence commercial outcomes.
The Company
They are an innovative data and analytics business providing insights to investment professionals through proprietary research and alternative data. Operating in a high-growth environment, they continuously explore new datasets and methodologies to enhance the quality and value of their products. Their collaborative culture brings together research, data, and technology teams to solve complex business challenges.
The Role
- Lead the data research function and define the strategy for identifying and evaluating new data sources.
- Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products.
- Design and oversee statistical analysis, modelling, and time series research to validate potential data assets.
- Work closely with stakeholders across data, partnerships, and technology teams to develop new research opportunities.
- Drive end-to-end research projects, from hypothesis generation through to evidence-based recommendations.
- Improve data evaluation frameworks, standards, and processes.
- Manage and mentor a small team while fostering technical excellence and continuous improvement.
- Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality.
Your Skills & Experience
- Strong commercial experience in data science, statistics, quantitative research, or a related field.
- Python skills, with experience applying statistical analysis and time series techniques to complex datasets.
- Strong understanding of data quality assessment, feature engineering, and modelling.
- Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
- Experience evaluating new datasets and translating findings into commercial recommendations.
- Ability to lead research projects from concept through to delivery.
- Experience working with alternative data, financial data, market intelligence, or data products is advantageous.
To Apply for this Job Click Here
VP Enterprise Data
London
£180000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
VP Enterprise Data
In this role you will lead enterprise data, technology, architecture, and AI strategy within a well-established, data-led organisation. Significant investment has already been made in data platforms, AI capabilities, and enterprise systems, creating a strong foundation. The focus now is on bringing teams together, creating alignment, and unlocking greater commercial value from those investments.
The Company
They are an insights and technology business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively across the organisation.
The Role
As VP Enterprise Data you will create a single vision across Data & Analytics, Engineering, IT, Salesforce, and Architecture.
You will inherit a large multidisciplinary team and be responsible for aligning previously separate functions, accelerating delivery, and ensuring technology investments deliver measurable business outcomes.
- Lead Data & Analytics, Engineering, IT, Salesforce, and Architecture functions.
- Develop and execute the enterprise data, technology, and AI strategy.
- Create alignment across technical, commercial, and operational stakeholders.
- Drive adoption and governance of AI across the organisation.
- Own enterprise architecture standards, data governance, and analytics capabilities.
- Support the delivery of a true 360-degree customer view across the business.
- Improve understanding of customer behaviour, product usage, and commercial performance through data.
- Enable more personalised marketing and more effective sales engagement.
- Support product teams with real-time customer and usage insights.
- Oversee internal data platforms, reporting capabilities, and enterprise systems.
- Make informed build-versus-buy decisions and manage technology roadmaps.
- Deliver quick wins while establishing long-term strategic direction.
- Build trust, accountability, and momentum across multiple functions.
Your Skills & Experience
- Strong leadership experience across some combination of Data, Analytics, Engineering, IT, and Architecture.
- Strong understanding of enterprise data platforms, architecture, analytics, and governance.
- The ability to unite teams around a shared vision and common objectives.
- Experience influencing senior stakeholders and driving organisational change.
- Confidence making decisions and taking ownership of outcomes.
- A hands-on approach and willingness to engage with technical detail when required.
- Strong commercial awareness and the ability to connect technology investments to business value.
- Experience operating successfully in fast-paced and evolving environments.
- The ability to balance strategic thinking with practical delivery.
- Exposure to AI-enabled products, services, or internal AI initiatives and experience applying AI to improve reporting, decision-making, or operational efficiency.
To Apply for this Job Click Here
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