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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Forward Deployed Engineer
Manchester
£80000 - £130000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Forward Deployed AI Engineer – Fully Remote
This is a rare opportunity to join an early stage, AI first biotech platform where you will sit at the intersection of advanced engineering and real world scientific impact. You will work directly with customers, deploying cutting edge AI into live research environments and helping teams accelerate how new drugs are discovered and developed.
The Role
- Act as a forward deployed engineer, working closely with client teams to design, build and deploy AI driven solutions on the platform
- Translate complex research and business questions into production ready LLM and RAG workflows
- Debug, optimise and scale LLM applications in real world, client facing environments
- Build and integrate data pipelines and services across cloud platforms and modern data stacks
- Collaborate with non technical stakeholders, clearly explaining platform capabilities and guiding them through best practice usage
- Feed learnings from deployments back into product and engineering teams to shape the roadmap
Your Skills and Experience
- Strong commercial engineering experience in AI, machine learning or data focused roles
- Hands on experience with retrieval augmented generation and production LLM workflows
- Confidence debugging and improving end to end LLM systems in live environments
- Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift
- Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable
- Comfortable in client facing environments, with the ability to work closely with non technical stakeholders
- Background in consultancy, product led organisations or start ups working closely with end users is beneficial
- No prior biotech experience required, but curiosity and the ability to learn complex domains quickly is essential
To Apply for this Job Click Here
Data Product Manager
London
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
DATA PRODUCT MANAGER
UP TO £80,000
LIVERPOOL STREET, LONDON
OVERVIEW
We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.
This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.
THE COMPANY
Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.
The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.
RESPONSIBILITIES
- Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
- Define and manage the data product roadmap
- Act as the link between business stakeholders, data engineering, analytics, and technology teams
- Translate commercial and technical requirements into scalable data solutions
- Support delivery of modern data platform initiatives, including real-time data capabilities
- Enable analytics and market teams to self-serve data more effectively
- Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
- Communicate product updates, priorities, and roadmap progress to stakeholders
- Support incident management and platform-related administration where required
SKILLS AND EXPERIENCE
- 3-5 years’ experience in data-focused roles
- Strong hands-on experience with Databricks
- Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
- Background in data product, data engineering, business analysis, analytics, or platform delivery
- Strong understanding of how data platforms support business outcomes
- Excellent communication and stakeholder management skills
- Confident, commercially minded, and able to challenge where needed
- Consultancy or data transformation experience would be highly attractive
To Apply for this Job Click Here
Forward Deployed AI Engineer
London
£80000 - £130000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Forward Deployed Engineer (AI and Knowledge Graphs)
London – UK Remote
The Company
They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.
The Role
As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions.
Key responsibilities include:
- Leading technical delivery for customer integrations, from scoping through to production rollout
- Working closely with end users ranging from highly technical teams to more non technical stakeholders
- Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
- Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms
- Partnering with a solutions consultant who brings deep industry expertise, while you own technical feasibility and execution
- Feeding recurring customer needs back into the core product to support long term scalability
Your Skills and Experience
You will bring a strong engineering foundation and enjoy working close to customers in fast paced, ambiguous environments.
Key requirements include:
- Strong commercial experience building and deploying AI or LLM powered systems into production
- Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches
- Experience working with modern data platforms and warehouses such as Snowflake or BigQuery
- Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J)
- Comfort working in small teams or startup environments, with a proactive, delivery focused mindset
- Ability to communicate clearly with both technical and non technical stakeholders
What They Offer
- The chance to work on meaningful technology with real impact on healthcare and drug discovery
- A small, collaborative team environment with direct access to senior leadership
- Genuine flexibility around location and working style
- Strong scope for career growth as the company scales
How to Apply
If you are excited by customer facing engineering, applied AI and working in a high impact startup environment, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Lead Product Analyst
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Lead Product Analyst
London (Hybrid)
Up to £100,000 + Benefits
I am recruiting for a Lead Product Analyst to join a fast-growing fintech business, working on a multi-product consumer app used by over a million customers.
This is a high-impact role where you’ll play a key part in shaping product strategy through data, working closely with product, growth, and engineering teams to improve user experience and drive performance.
The Role
- Lead product analytics across a large-scale consumer app
- Analyse user behaviour, engagement, and lifecycle trends
- Own the end-to-end experimentation process (A/B testing)
- Build dashboards, metrics, and reporting frameworks
- Identify growth opportunities and product improvements
- Partner with product and engineering teams to influence decision-making
- Translate complex analysis into clear, actionable insights
What They’re Looking For
- 5+ years’ experience in data or product analytics
- Strong experience with experimentation (A/B testing, hypothesis testing)
- Ability to turn complex data into clear business recommendations
- Experience working in product-led or high-growth environments
- Strong stakeholder management and communication skills
- Exposure to fintech or consumer apps (nice to have)
Benefits
- Competitive salary
- Hybrid working
- High-impact, strategic role
- Opportunity to shape product direction at scale
- Collaborative, fast-paced environment
How to Apply
Please send your CV to Keji Adebari via the Apply link or message me directly
To Apply for this Job Click Here
Senior Product Manager – Web App
London
£90000 - £90000
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Senior Product Manager – Web app
London (Hybrid – 2-3 days onsite) – 9 month FTC
Up to £90,000
I am recruiting for a Senior Product Manager to join a fast-growing Wealth-Tech business, focused on improving digital acquisition and client experience.
This is a high-impact role responsible for owning the top-of-funnel journey, driving conversion, engagement, and product-led growth across a digital platform.
The Role
- Own and optimise the digital acquisition journey for new clients
- Improve conversion rates, engagement, and funnel performance
- Lead a product squad, prioritising and delivering high-impact features
- Work closely with marketing, client, and product teams to improve the end-to-end journey
- Use data and experimentation to drive product decisions
- Leverage AI tools to enhance product development and delivery
What They’re Looking For
- Proven experience as a Product Manager in digital or consumer products
- Strong focus on acquisition, conversion, or growth
- Experience improving digital customer journeys
- Comfortable working in fast-paced, high-growth environments
- Strong stakeholder management and communication skills
- Interest or exposure to AI tools and modern product practices
Benefits
- Hybrid working (2-3 days onsite)
- Private healthcare + well-being support
- 25 days holiday + bank holidays
- High-impact role working with senior leadership
- Opportunity to work with cutting-edge AI tools
How to Apply
Please send your CV to Keji Adebari via the Apply link or message me directly!
To Apply for this Job Click Here
Data Scientist
Eindhoven
€75000 - €84000
+ Data Science & AI
PermanentEindhoven, North Brabant
To Apply for this Job Click Here
Data Scientist
Eindhoven, hybrid (2 days per week on site) | €78,000 base salary, up to €84,000 total package
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
London
£70000 - £90000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Machine Learning Engineer
UK – Remote – 12-month FTC
The Company
They are a long-standing professional services organisation operating at national scale, supporting over a million clients across a wide range of specialist services. With a heritage spanning more than a century, they combine deep domain expertise with a modern, client-first approach. Recently recognised for the quality of their work, they are now accelerating investment in data, AI and cloud technology to drive the next phase of innovation.
The Role
You will join an established data and engineering function and act as the founding specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation.
Key responsibilities include:
- Owning and delivering end-to-end ML and GenAI solutions, from data preparation through to production deployment.
- Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks.
- Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks.
- Organising and processing large, complex datasets to enable AI and ML use cases.
- Acting as the go-to ML expert for the wider team, influencing best practice and future capability.
- Working closely with stakeholders and product to clearly articulate recommendations and technical trade-offs.
- Helping shape the long-term ML roadmap as investment in this area scales.
Your Skills & Experience
- Strong commercial experience as a Machine Learning Engineer or Software Engineer operating in an ML-focused environment.
- Solid grounding in machine learning concepts alongside strong data engineering capability.
- Proven experience building backend systems for ML, including CI/CD pipelines and MLOps.
- Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph.
- Experience working in cloud-based data and ML environments, ideally with Azure and Databricks.
- Strong Python skills and experience deploying models into production environments.
- Confident communicator, comfortable engaging directly with stakeholders and working in a product-led team.
- Background in software engineering, with an interest in owning and scaling ML capability.
What They Offer
- Competitive salary and benefits package.
- A founding role with genuine ownership and influence over ML and GenAI strategy.
- Significant investment and senior buy-in for AI initiatives.
- Clear opportunity to move into a permanent position and take on leadership responsibilities as the team grows.
- Collaborative, confident culture with direct access to stakeholders and decision-makers.
- Hybrid working from a London office.
How to Apply
If you are excited by the opportunity to build and own ML and GenAI capability in a highly respected organisation, apply now to learn more.
To Apply for this Job Click Here
Principal Machine Learning Engineer
$170000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal Machine Learning Engineer
New York | Hybrid | Principal IC
$170,000 to $210,000
Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.
The role
As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.
What you’ll be doing
- Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
- Building scalable Python backends & APIs (FastAPI, async systems)
- Owning LLMOps/MLOps, cloud AI infrastructure and observability
- Driving best practice across ML, software engineering and platform design
What we’re looking for
- 10+ years in ML / software / data roles, expert Python engineer
- Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
- Production mindset: distributed systems, reliability, scalability
- Comfortable influencing teams and leaders without line management
Why apply
- Principal‑level impact and autonomy
- Cutting‑edge AI at real scale (not POCs)
- High‑trust, high‑performance engineering culture
Apply NOW!
