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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Data Recruitment & AI Talent Solutions
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Principal Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist – GenAI & Personalization
Remote (US) | $190k-$220k + 15% bonus
My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.
This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.
Why this role stands out
- Own and shape a core AI capability – scope built around your strengths
- Work on customer-facing GenAI products used at massive scale
- Strong leadership air cover – minimal meetings, protected focus time
- High-visibility work with real-world impact in education
What you’ll do
- Design and build GenAI systems that translate education standards into structured learning objectives
- Improve AI-driven assessments, content generation, and personalization engines
- Apply rigorous statistics to messy human data – and make it production-ready
- Partner closely with engineering on deployment, testing, and optimization
What they’re looking for
- PhD in Statistics or a highly quantitative field
- Strong generative AI experience (personalization or content generation a big plus)
- Excellent Python and end-to-end ownership – research → production → impact
- Clear communicator who can influence both technical and non-technical teams
- 4-5 years post-PhD industry experience
Bonus points for: MLOps, AWS/Databricks, or education experience (not required)
Logistics
- Fully remote (US-based)
- US Citizen or Green Card only (no sponsorship)
- Core availability: 11am-5pm EST
If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.
To Apply for this Job Click Here
Principal Data Scientist
$190000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
About the Role
We’re looking for a Principal Data Scientist to lead the development of AI-powered products that transform how students and educators experience learning. You’ll work at the intersection of generative AI, personalization, and educational content, building systems that adapt to individual learners at scale. This is a high-visibility, hands-on role where your work directly shapes product direction and student outcomes.
What You’ll Do
- Design and build AI/ML systems for personalization and content generation across education products
- Architect end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring
- Lead the implementation of GenAI solutions, ensuring responsible use through AI guardrails and safety frameworks
- Partner cross-functionally with product, engineering, and curriculum teams to translate learning science needs into scalable AI solutions
- Drive MLOps best practices including CI/CD for models, experiment tracking, and production monitoring
- Mentor and technically guide junior data scientists and ML engineers across the org
What We’re Looking For
- PhD in Statistics, Mathematics, Computer Science, or another quantitative field
- 5+ years of professional data science experience outside of a PhD program
- Strong hands-on Python and SQL skills – you’re comfortable writing production-grade code
- Experience with Databricks (or equivalent distributed compute platforms) and AWS (or comparable cloud infrastructure)
- Demonstrated experience with generative AI, ideally applied to personalization or recommendation problems
- Familiarity with AI guardrail frameworks and responsible AI practices
- Solid MLOps experience: model versioning, deployment pipelines, monitoring, and retraining workflows
- Strong system design ability – you can architect solutions that scale and communicate those designs clearly to stakeholders
Nice to Have
- Experience in edtech, consumer personalization, or content generation platforms
- Familiarity with LLM fine-tuning, RAG architectures, or prompt engineering at scale
- Background in learning science, adaptive learning systems, or curriculum design
To Apply for this Job Click Here
Product Analyst
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Analyst
London – Hybrid (3/4 days a week in office)
Up to £65,000
We’re hiring a Product Analyst to join a fast-growing B2B2C tech business powering on-device digital experiences for mobile operators-reaching millions of users and billions of impressions every month.
You’ll join a high-impact Product Analytics team, working closely with senior stakeholders to deep-dive into product performance, uncover insights, and drive experimentation. This is a hands-on role where you’ll spot opportunities, investigate anomalies, and help scale A/B testing capabilities.
What you’ll be doing:
- Deep-dive analysis of product features and performance
- Lead and evaluate A/B tests and experimentation
- Identify trends, issues, and opportunities within large datasets
- Collaborate with product teams to optimise user experience
What we’re looking for:
- Strong SQL and Looker experience
- Background in Product Analytics and experimentation (A/B testing)
- Python (preferred) and DBT (nice to have)
- Excellent communication skills and a proactive mindset
How to Apply:
If you are a Product Analyst who is looking to make an impact in a product focused and data driven enviroment, apply now to reveal more.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager (Databricks)
London
Rate: £550-£650 Outside IR35 Per Day
The Company
They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.
The Role and Deliverables
- Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.
- Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
- Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
- Implement and maintain security, risk and compliance controls across data and machine learning workloads.
- Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.
Your Skills and Experience
- Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
- Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
- Experience owning platform operations and service management in a complex, enterprise environment.
- Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
- Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.
How to Apply
If this contract sounds like a good fit for your experience and interests, please apply to find out more.
To Apply for this Job Click Here
Product Analyst
City of London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
Product Analyst
Up to £65,000
London – Aldgate East
Hybrid – 3 to 4 days in office
OVERVIEW
Are you a naturally curious analyst who wants to go beyond dashboards and actually shape how a product evolves? This is your chance to join a high-impact data team at a fast-growing tech business whose digital products reach millions of users every month.
THE COMPANY
This innovative B2B2C tech business builds on-device content tools for major mobile network operators, with digital products that drive billions of impressions monthly. As they scale rapidly, data and experimentation sit at the heart of every product decision they make.
THE ROLE
As a Product Analyst you will own the analytical process behind product decisions, digging deep into performance data and scaling the business’s experimentation capability.
Specifically, you can expect to be involved in the following:
- Conducting deep-dive analytics investigations into product and feature performance, identifying anomalies and surfacing actionable insights
- Designing and evaluating A/B tests and experiments to assess the impact of product feature changes
- Working across SQL and Looker to build and maintain robust reporting
- Collaborating closely with the Head of Data and two Senior Product Analysts to prioritise and deliver analytical work
SKILLS AND EXPERIENCE
The successful Product Analyst will have the following skills and experience:
- Strong SQL and Looker skills
- Solid A/B testing and experimentation experience
- A product analytics background from a fast-paced, consumer-facing environment
- Python experience (ideally)
- Excellent communication skills – able to translate complex findings for non-technical stakeholders
- dbt experience is a bonus
To Apply for this Job Click Here
ML Platform Engineer
£550 - £650
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
MLOps Platform Manager (Databricks)
£550 – £650 Outside IR35
Remote
The Company
They are a large, complex organisation with a strong focus on data-driven decision making and responsible use of analytics and AI. The business operates at enterprise scale, with multiple delivery teams relying on a shared data and ML platform. There is a clear commitment to governance, security, and operational excellence, balanced with enabling innovation. The environment is collaborative, with close alignment between data engineering, data science, platform, security, and governance functions.
The Role and Deliverables
- Own the day-to-day operation of the Databricks platform and associated MLOps services, ensuring reliability, performance, and a strong developer experience.
- Establish and run service management processes including incident, change, and release management for platform services.
- Define and embed standardised MLOps patterns covering model build, deployment, monitoring, and lifecycle governance.
- Lead platform releases and upgrades, including Databricks Runtime changes, with clear testing, communication, and rollback plans.
- Implement robust monitoring and observability for production models, including performance, drift, and data quality.
- Drive improvements in platform cost management, documentation, and operational controls.
Your Skills & Experience
- Strong experience operating Databricks in a production, enterprise environment, including workspace administration, access controls, and platform governance.
- Proven capability in establishing and running MLOps practices across the full model lifecycle in live environments.
- Solid background in platform operations, service management, and incident leadership for critical data services.
- Experience working closely with security, risk, and compliance stakeholders to evidence controls for data and AI platforms.
- Ability to engage and influence data engineering, data science, and senior stakeholders, translating business needs into platform priorities.
- Hands-on understanding of cloud-based data platforms and cost optimisation approaches.
How to Apply
Apply now to discuss this freelance MLOps Platform Manager opportunity and how your Databricks and MLOps expertise can make an immediate impact.
To Apply for this Job Click Here
Senior Software Engineer – AI
Dallas
$60 - $70
+ Data Science & AI
ContractDallas, Texas
To Apply for this Job Click Here
Senior Software Engineer – AI
Harnham is partnering with an enterprise organisation to hire a Senior Software Engineer (AI) on a contract basis. This role focuses on building and shipping production AI features powered by LLMs into real business applications.
- Contract Role
- Location: Dallas, TX (Hybrid – 2-3 days onsite)
- Rate: $60-$70 per hour W2 only
- Hours: Full‑time (40/week)
- Work Authorization: U.S. only (no sponsorship)
The Role
You’ll design backend services and APIs that integrate large language models into production systems. This is a hands‑on engineering role, not research-focused on reliability, scalability, and real‑world usage.
Key Responsibilities
- Build and deploy AI‑powered backend services
- Develop LLM features using RAG
- Design scalable APIs and microservices
- Own features end‑to‑end: build, deploy, monitor, improve
- Optimise AI latency, quality, and cost
Requirements
- 6+ years of software engineering experience
- Strong backend skills (Python, Java, or similar)
- Experience integrating LLMs / AI APIs into production
- Solid RAG and cloud deployment experience (AWS, Azure)
Next Steps
If interested, please apply below or contact Ciarán Brown to discuss more
To Apply for this Job Click Here
AI Automation Engineer
City of London
£80000 - £100000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
12 Month FTC Applied Automation Engineer
London, Goodge Street | £80,000 to £100,000
This is a rare opportunity to join a lean, high trust investment organisation at a pivotal moment. They are building a fully automated reporting and calculation platform from the ground up, replacing long standing manual processes with a modern, scalable solution. You will have clear ownership, real influence, and the chance to deliver a system that will shape how the business operates for years to come.
The Company
They are a well established investment firm operating in the alternative investment space, with a long term track record and a global client base. The business is intentionally small and flat, with direct access to senior leadership and a culture built on trust, low ego and accountability. Based in a modern London office, they combine institutional standards with the pace and autonomy of a specialist team.
The Role
- Own the end to end delivery of an automated reporting and calculation platform, from design through to production.
- Automate the ingestion of data from a wide range of structured and unstructured sources including APIs, files and external partners.
- Design and implement robust data workflows and SQL based data structures to support complex financial calculations.
- Build reliable, auditable systems that significantly reduce manual intervention in NAV and LAV processes.
- Work closely with the Head of Data Science, the founder and technical and non technical stakeholders across the business.
- Lay the foundations for future AI and agent based automation as the platform evolves.
Your Skills and Experience
- Strong commercial experience building production grade systems using Python and SQL.
- Excellent problem solving skills with a logical and mathematical mindset.
- Experience integrating multiple data sources and APIs into cohesive workflows.
- Exposure to CI/CD, version control and modern engineering best practice.
- Confidence owning ambiguous, high impact projects end to end.
- Any exposure to financial services, automation of legacy processes, FastAPI or AI driven systems is a bonus but not essential.
What They Offer
- A 12 month fixed term contract with a high likelihood of extension or conversion to permanent.
- Hybrid working model with three days in the office after an initial onboarding period.
- The chance to make a visible, lasting impact in a small, trusted team.
How to Apply
Apply now to learn more about this Applied Automation Engineer opportunity and discuss whether it could be the right next step for you.
