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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Founding Product Engineer
New York
$200000 - $240000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
About the Company
We’re currently working with an early-stage, product-led technology company building a new operating layer for modern work.
Their mission is to reduce cognitive load, eliminate coordination overhead, and help people move from intention to action without sacrificing wellbeing or focus.
This is not another productivity, task, or planning tool.
They are building AI-native systems that can take action, not just make suggestions, while remaining transparent, trustworthy, and fully user-controlled. The product lives at the intersection of AI, UX, and human judgement, and requires careful design to feel empowering rather than opaque or overwhelming.
They are NYC-based, well-funded, and building with urgency.
The Role
We are hiring a Founding Product Engineer with a strong frontend and UX lean to help shape and build the product from scratch.
This is a true founding-level individual contributor role. You will work side-by-side with a small, highly technical founding team, stay extremely close to early users, and help define what the product should be through rapid experimentation.
You will not be handed a polished roadmap, detailed specs, or a mature design system. Instead, you’ll help discover the right product by shipping, testing, learning, and iterating fast.
This role is ideal for a senior, product-led engineer who thrives in low-process, pre-PMF environments and enjoys zero-to-one work.
What You’ll Do
- Turn product hypotheses into working prototypes within days, not weeks
- Design AI-native user experiences that feel collaborative, trustworthy, and controllable (not prompt-heavy or opaque)
- Build simple, opinionated flows to test assumptions directly with users
- Own meaningful parts of the product end-to-end: UX, frontend, and implementation
- Work across the stack as needed, with a strong frontend and product focus
- Collaborate on system shape without premature abstraction or over-architecture
- Ship quickly, learn from real usage, and iterate or discard work freely as assumptions change
- Stay close to early customers and incorporate feedback continuously
Who You Are
- 5-10+ years of hands-on experience building real products
- Strong frontend skills with excellent UX and product intuition
- Full-stack capable, but opinionated about user-facing quality
- Product-first mindset: you care deeply about clarity, trust, and interaction design
- Comfortable working with partial or ambiguous requirements
- Curious about applied AI and LLM-enabled workflows, especially user-facing ones
- Low ego, high agency: you move fast, take ownership, and change direction when users prove you wrong
- Experience in early-stage startups, very small teams, or zero-to-one builds is a major plus
This Role Is a Great Fit If You…
- Want real ownership and visible impact from day one
- Enjoy ambiguity early and bringing structure over time
- Prefer shipping, testing, and learning over polishing and perfecting
- Have strong instincts for modern UX and product taste
- Want to work closely with founders in a tight, fast-moving team
- Are NYC-based, or are exceptional enough to justify remote-first early on
This Role Is Probably Not a Fit If You…
- Expect a fully defined roadmap before you start
- Prefer clean architecture before product signal
- Optimise for scale, abstraction, or elegance too early
- Want a narrowly scoped frontend-only or backend-only role
- Prefer large teams, heavy process, or layered decision-making
- Are uncomfortable shipping imperfect work to learn faster
Compensation
- Base salary: $200K-$240K (depending on experience and scope)
- Equity: Meaningful founding-level ownership
- Location: NYC strongly preferred (hybrid); exceptional remote candidates considered
To Apply for this Job Click Here
Data Strategist / Planner
Bristol
£300 - £400
+ Advanced Analytics & Marketing Insights
ContractBristol
To Apply for this Job Click Here
Data Strategist / Planner
– Day rate: approximately £300-£400 per day (Outside IR35).
– Location: Mostly remote, with on-site presence in Bristol once every two weeks.
This is an excellent opportunity for a data-driven CRM strategist or planner to join a reputable CRM agency working with major consumer brands. If you enjoy developing customer-centric strategies, turning insights into action, and influencing how brands utilize data in CRM and email, this role provides real impact from day one. You’ll be part of a collaborative team where your ideas, recommendations, and ability to translate data into meaningful journeys will directly influence how clients engage their customers.
About the Role
As the CRM Data Strategist, you’ll partner with clients to understand their goals, challenges, and customer behaviours. Your role is to interpret what they need, uncover the data‑led opportunities, and turn that into clear CRM strategies that internal teams can bring to life.
This position suits someone with a strategy, planning, or data insight background. Someone who understands how CRM should work, how data fuels it, and how to map that into customer journeys. You don’t need to be deeply hands‑on with the tech, but you must be confident navigating CRM platforms and understanding how data supports targeting, segmentation, and personalisation.
Technical Environment
Main tools used:
- Braze
- Adobe tools
- GA4
While the role isn’t execution‑heavy, you’ll collaborate closely with technical and CRM teams who deliver the journeys and campaigns based on your strategic direction.
Key Responsibilities
- Partner with clients to understand their CRM, data, and customer engagement goals
- Translate client needs into data‑driven CRM strategies and clear recommendations
- Identify customer insights and opportunities using available data
- Work with CRM and technical teams to define how strategies can be executed
- Shape customer journeys and messaging approaches rooted in behaviour and data
- Ensure strategies align with what’s possible in Braze, Adobe, and GA4
Working Model
- Mostly remote
- On‑site in Bristol once every two weeks
To Apply for this Job Click Here
Lead Data Platform Engineer
Birmingham
£75000 - £85000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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 Data Platform Engineer
Leeds
£75000 - £85000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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 Data Platform Engineer
Manchester
£80000 - £85000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
LEAD DATA PLATFORM ENGINEER
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.
THE COMPANY:
This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
Key responsibilities include:
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end‑to‑end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Creating and maintaining CI/CD pipelines and automated testing frameworks.
- Developing APIs to support integration
- Implementing monitoring, logging and alerting for platform reliability.
YOUR SKILLS AND EXPERIENCE:
- Deep expertise in Databricks, PySpark, Python and SQL.
- Proven experience designing and delivering Lakehouse solutions.
- Strong DevOps capabilities, including CI/CD and automated testing.
- Experience with Infrastructure as Code and cloud automation.
- Familiarity with monitoring, logging and alerting tools.
- Strong stakeholder engagement and the ability to work across teams.
- Experience with APIs and data integration methods.
- Azure Data Factory experience is beneficial.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Machine Learning Engineer (Fully Remote)
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
To Apply for this Job Click Here
Senior Research Executive ( consulting )
London
£35000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Research Executive
Location: London (4 days per week in office)
Salary: £35,00 – £45,000
Industry: Research · Insights · Analytics · AI
THE COMPANY
They are an industry‑leading insights company on a mission to close the “understanding gap” between what organisations believe and how people actually think and behave. Combining deep research expertise with cutting‑edge AI, they deliver faster, more accurate insights to global brands, high‑impact non-profits, and organisations shaping society.
With a world‑class team of researchers, engineers, and data scientists, they are redefining what modern research can achieve – and they’re now looking for a talented Senior Research Executive to join their growing consulting team.
THE ROLE
As a Senior Research Executive, you’ll own research projects end‑to‑end, working directly with clients and driving high‑impact insights. This is a fantastic opportunity for someone with strong quantitative research experience who’s ready to step up, take more ownership, and work with advanced analytics and AI‑powered tools.
You will:
- Lead day‑to‑day project delivery and client communication
- Design and script surveys, sampling plans, and weighting approaches
- Analyse quantitative and qualitative data to uncover key narratives
- Build compelling deliverables – dashboards, reports, presentations, data visualisations
- Advise clients on strategy using data‑led insights
- Collaborate with analytics teams on segmentation, regression, PCA and other methods
YOUR SKILLS & EXPERIENCE
The ideal candidate will have:
- ~2 years’ experience in research or insights
- Hands‑on quantitative research experience (survey design, analysis, reporting)
- Strong data interpretation and visualisation skills
- Confidence speaking with clients and managing multiple projects
- Qualitative research experience (desirable but not essential)
HOW TO APPLY
If you’re ready to level up your research career and work with cutting‑edge tools in an exciting, high‑growth environment, I’d love to hear from you.
To Apply for this Job Click Here
Senior Media Consultant
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Media Consultant
London, hybrid working (2 days office based).
Salary up to £55,000
This is a great opportunity to join a growing data‑driven consultancy where you can broaden your media expertise while gaining exposure to analytics, measurement and cross‑channel strategy. You will play a key role in supporting major global brands, helping them optimise their paid media performance and make smarter marketing decisions.
The Company
They are a specialist digital consultancy that helps clients understand, optimise and activate their marketing data. With teams across Europe, the US and Asia, they partner closely with global brands to improve digital performance, enhance customer journeys and maximise media ROI. Their work blends analytics, media expertise and consulting, offering a collaborative environment where you can develop your technical depth while expanding your strategic skills.
The Role
You will sit within the consulting team, supporting a mix of media, analytics and digital transformation projects. Your work will include:
- Advising clients on paid search and programmatic activation, using platforms such as Google Ads and DV360.
- Supporting demand forecasting and performance dashboarding for key accounts.
- Leading conversations with clients to explain media strategy, platform setup and optimisation opportunities.
- Developing analytics‑informed recommendations using data from tools such as Google Analytics.
- Contributing to cross‑channel strategies, media testing frameworks and audience‑led activation.
- Collaborating with specialists across tracking, cloud engineering and measurement to deliver high‑quality project outcomes.
- Ensuring project deliverables are accurate, insight‑driven and meeting agreed timelines.
Your Skills and Experience
You will thrive here if you bring:
- Strong commercial experience in paid search, PPC or programmatic media activation.
- Hands‑on use of platforms such as DV360, Google Ads, Campaign Manager, Search Ads 360 or Meta Ads Manager.
- Working knowledge of Google Analytics, media measurement or attribution approaches.
- Experience creating or activating cross‑channel media strategies.
- Familiarity with dashboarding tools such as Power BI, Looker or Tableau.
- A proactive, organised and detail‑focused approach to project delivery.
- Curiosity, problem‑solving ability and confidence engaging with clients.
HOW TO APPLY:
- Apply by sending your CV to Joe by the link below
To Apply for this Job Click Here
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