The Data And AI Podcast

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SENIOR AI ENGINEER

London (Hybrid)

THE COMPANY
A well-funded technology business is investing heavily in AI innovation as part of its next phase of growth. They are building advanced AI capabilities that solve complex real-world problems and are looking for experienced engineers who can combine strong technical expertise with a product-focused mindset. You’ll join a collaborative environment where experimentation, ownership, and technical excellence are highly valued.

THE ROLE

• Design, build, and deploy production-grade machine learning, deep learning, and generative AI solutions
• Develop LLM-powered applications including RAG pipelines, prompt engineering, fine-tuning, and agentic AI systems
• Build scalable MLOps frameworks covering deployment, monitoring, observability, governance, and model lifecycle management
• Optimise AI models and inference pipelines for performance, scalability, latency, and cost efficiency
• Lead technical decision-making, mentoring engineers and contributing to architecture, code quality, and engineering best practice
• Work closely with software, platform, and data teams to integrate AI capabilities into production products

YOUR SKILLS & EXPERIENCE

• Strong commercial experience delivering machine learning and AI solutions in production environments
• Advanced Python skills and expertise with modern machine learning frameworks such as PyTorch, Scikit-learn, and Hugging Face
• Experience building and deploying LLM applications, generative AI systems, and retrieval-augmented generation solutions
• Strong understanding of MLOps, CI/CD, model monitoring, experimentation, and cloud-based machine learning infrastructure
• Ability to optimise model performance and make sound technical decisions in complex environments
• Strong communication skills and experience working with both technical and non-technical stakeholders

WHAT THEY OFFER

• Competitive salary and bonus package
• Flexible hybrid working model
• Private healthcare and wellbeing support
• Enhanced pension and insurance benefits
• Strong learning and development opportunities
• Clear progression within a growing AI and engineering function

HOW TO APPLY
If you’re a Senior AI Engineer looking to work on cutting-edge machine learning and generative AI products within a high-growth technology environment, please apply today for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR MECHANICAL ENGINEER

Oxford (Hybrid)

A rapidly growing deep-tech business is developing cutting-edge products that combine advanced sensing, positioning, and software technologies. Their solutions are helping organisations gain greater visibility and insight into complex environments through innovative hardware and data-driven capabilities. Following continued growth, they are looking to strengthen their engineering team with a Senior Mechanical Engineer who can drive product development and manufacturing excellence.

THE ROLE

• Lead mechanical design activities across the full product lifecycle, from concept development through to production and deployment
• Own hardware development processes including product design, integration, prototyping, testing, and validation
• Manage supply chain, procurement, inventory, and manufacturing operations to support product delivery and scaling
• Oversee compliance and certification processes for products entering global markets
• Conduct mechanical analysis and simulation to ensure product performance and reliability
• Mentor engineers and contribute to the growth of a collaborative multidisciplinary engineering team

YOUR SKILLS & EXPERIENCE

• Strong commercial experience in mechanical product design and development
• Advanced CAD expertise, ideally with SolidWorks or similar 3D modelling tools
• Excellent understanding of mechanical engineering principles, hardware integration, and product manufacturing
• Experience supporting products through prototyping, validation, and production scaling
• Knowledge of supply chain management, procurement, and manufacturing processes
• Ability to work independently, manage multiple priorities, and communicate effectively with technical stakeholders

WHAT THEY OFFER

• Employee share options
• Hybrid working with flexibility around home and office-based work
• Pension scheme and generous holiday allowance
• Annual salary and performance reviews
• Opportunity to work on innovative technology within a fast-growing engineering environment

HOW TO APPLY
If you’re a Senior Mechanical Engineer looking to own product development from concept through to production within an innovative technology business, apply today to learn more about this opportunity.

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LEAD MACHINE LEARNING ENGINEER

EU Remote

THE COMPANY
A global technology business operating at significant scale is looking to expand its Machine Learning capability. Their ML function sits at the core of the business, owning end-to-end machine learning systems that power critical commercial outcomes. They foster a collaborative engineering culture where experimentation, ownership, and technical excellence are highly valued.

THE ROLE

• Lead the technical direction of machine learning initiatives, helping shape architecture, best practices, and long-term strategy
• Design, develop, and optimise predictive machine learning models used in large-scale production environments
• Scale ML infrastructure including feature stores, training pipelines, model lifecycle management, and experimentation frameworks
• Drive the performance of real-time inference systems, balancing latency, scalability, and model accuracy
• Own end-to-end MLOps processes including monitoring, model performance evaluation, drift detection, and automated retraining
• Partner closely with engineering, analytics, and commercial stakeholders to translate business objectives into impactful machine learning solutions

YOUR SKILLS & EXPERIENCE

• Strong commercial experience building and owning production machine learning systems at scale
• Expertise in Python and modern machine learning frameworks such as PyTorch or TensorFlow
• Experience deploying and optimising real-time machine learning systems in production environments
• Strong understanding of MLOps, experimentation, model monitoring, and machine learning infrastructure
• Excellent software engineering fundamentals and experience writing production-quality code
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders

WHAT THEY OFFER

• Competitive salary with performance-based bonus
• Flexible hybrid working model
• Enhanced wellbeing and mental health support
• Additional leave and flexible working benefits
• Strong learning and development environment
• Opportunity to influence machine learning strategy within a high-impact engineering team

HOW TO APPLY
If you’re a Machine Learning Engineer looking for a role that combines technical leadership, large-scale machine learning, and real-world impact, please apply today for more information.

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PRODUCT MANAGER, AI & DATA PRODUCTS

London (Hybrid)

THE COMPANY
An innovative data and insights business that helps organisations better understand consumer behaviour through advanced analytics and emerging technologies. They are investing heavily in AI-powered products and offer a highly collaborative environment where Product Managers have significant ownership and influence. This is an opportunity to join at a pivotal stage of growth and play a key role in defining future product strategy.

THE ROLE

• Own the product strategy and roadmap for AI and data-driven insight products, driving their evolution from concept to scalable commercial solutions
• Lead product development across dashboards, reporting tools, insights products, and client-facing platforms
• Take ownership of a consumer app and user experience, improving engagement, onboarding, retention, and data collection processes
• Work closely with engineering, data science, analytics, and commercial teams to prioritise product development and delivery
• Translate client and market needs into clear product requirements and commercially valuable features
• Support go-to-market activity through product documentation, demonstrations, stakeholder engagement, and roadmap communication

YOUR SKILLS & EXPERIENCE

• Strong commercial Product Management experience within data, analytics, SaaS, insights, research, martech, adtech, or technology products
• Proven ability to turn complex datasets into clear, scalable products with tangible commercial value
• Experience working closely with technical, data, and commercial stakeholders
• Strong product strategy, roadmap ownership, prioritisation, and product discovery capabilities
• Excellent stakeholder management and communication skills
• Exposure to AI, LLMs, consumer data products, mobile apps, or digital analytics environments would be beneficial

WHAT THEY OFFER

• Hybrid working model with flexibility
• Opportunity to define and shape a market-leading AI product proposition
• High levels of ownership and visibility across the business
• Collaborative, entrepreneurial working environment
• Strong opportunities for progression as the product function grows

HOW TO APPLY
If you’re a Product Manager looking to build innovative AI and data products while influencing business strategy, please apply today for more information.

To Apply for this Job Click Here

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DATA SCIENTIST, DECISION SCIENCES

London OR Cossington (Hybrid)

THE COMPANY
A data-driven consumer business with a large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You’ll work in a collaborative environment alongside analytics, marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes.

THE ROLE

• Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value
• Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact
• Partner with CRM and marketing teams to translate model outputs into actionable retention strategies
• Develop forecasting and marketing effectiveness models to support business planning and decision-making
• Design, analyse, and interpret A/B tests and experimentation frameworks
• Deliver insight through deep-dive analysis, dashboards, and clear communication to stakeholders

YOUR SKILLS & EXPERIENCE

• Strong commercial experience as a Data Scientist within marketing, ecommerce, customer, loyalty, or membership environments
• Advanced Python and SQL skills, with experience working in modern data environments
• Strong understanding of statistical modelling, experimentation, and causal inference
• Experience building and deploying predictive machine learning models
• Ability to communicate technical findings to non-technical audiences
• Experience working closely with CRM or lifecycle marketing teams is advantageous

WHAT THEY OFFER

• Competitive salary plus bonus
• Hybrid working and flexible hours
• Private healthcare and enhanced pension package
• Additional annual leave and wellbeing benefits
• Ongoing learning and development opportunities
• Clear career progression within a growing data team

HOW TO APPLY
To find out more about this Data Scientist, Decision Sciences opportunity, please submit your CV for consideration.

To Apply for this Job Click Here

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Databricks QA Engineer

Remote (UK) | £50,000 – £60,000 + Benefits
Must have full UK working rights

Are you a Data QA Engineer with strong Databricks and PySpark experience looking for a role where you can make a genuine impact? This is an opportunity to join a growing data function at a pivotal stage of its data transformation journey, helping to shape testing standards, improve data quality practices, and ensure the successful delivery of a modern cloud-based data platform.

The Company

This organisation is investing heavily in its data capabilities and building a modern data platform to support business-wide decision making. They have a collaborative culture where data teams work closely with stakeholders across the business to deliver high-quality, reliable solutions. With significant projects underway, they are looking for an experienced Data QA Engineer who can bring expertise, ownership, and a proactive approach to quality assurance.

The Role

As a Data QA Engineer, you will play a key role in ensuring the quality, reliability, and performance of a cloud-based data platform and associated products.

Responsibilities include:

• Designing, executing, and maintaining testing activities across data platforms and data products
• Performing functional, integration, regression, and data validation testing
• Working closely with Data Engineers, Analytics Engineers, and business stakeholders to identify risks and ensure robust solutions
• Developing testing strategies and helping define quality standards across the team
• Driving continuous improvement in testing processes, tools, and frameworks
• Managing defects through investigation, tracking, and resolution
• Working within a Databricks and PySpark environment, contributing to both testing and development activities
• Providing guidance and best practice recommendations around quality assurance and testing approaches
• Supporting the successful delivery of a large-scale data and analytics programme

Your Skills & Experience

You will bring:

• Strong commercial experience within Data QA, Software Testing, or Quality Engineering
• Experience testing data platforms, data pipelines, and complex technical solutions
• Hands-on experience with Databricks
• Strong PySpark, SQL, and Python skills
• Experience collaborating with both technical teams and business stakeholders
• Knowledge of testing methodologies, defect management, and quality assurance best practices
• Experience working within Agile delivery environments
• Exposure to CI/CD pipelines and modern data engineering practices would be advantageous
• Excellent communication skills with the confidence to challenge, influence, and drive improvements where required

What They Offer

• £50,000 – £60,000 base salary
• Comprehensive benefits package
• Remote-first working model
• Flexible-by-choice working policy designed around work-life balance
• Opportunity to influence testing standards within a growing data team
• Exposure to modern technologies including Databricks, PySpark, SQL, and Python
• Career development within a business investing heavily in data and analytics

How to Apply

If you’re a Data QA Engineer with Databricks, PySpark, SQL, and Python experience and are looking for a role where you can shape quality standards whilst working on a modern data platform, apply today.

To Apply for this Job Click Here

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Senior AI Engineer – Remote

Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role.

The Company
They are a technology business investing heavily in AI, with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products.

The Role

• Design and deploy machine learning, deep learning, and LLM-based solutions
• Build RAG pipelines, agentic AI systems, and model evaluation frameworks
• Work across the full AI lifecycle from problem definition to deployment
• Apply both classical ML techniques and modern AI approaches
• Use AI-assisted development tools such as Claude Code, Codex, or similar
• Help shape technical direction and mentor other engineers

Your Skills & Experience

• Strong commercial experience across machine learning and generative AI
• Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face
• Experience building production AI systems and MLOps pipelines
• Practical use of AI coding assistants and agentic engineering workflows
• Ability to own projects independently from concept to delivery
• MSc required, PhD advantageous

To Apply for this Job Click Here

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Data Engineer – Hybrid in San Francisco – $130,000-150,000

About the Opportunity

We are seeking a Data Engineer to join a growing data team and help scale the data foundation of a rapidly expanding business. This is a high-impact role supporting critical operational functions across manufacturing, inventory management, project delivery, and business operations.

Reporting to the Analytics Engineering function, you will own and enhance core data pipelines, improve data quality and visibility across business systems, and help stakeholders make better operational decisions through reliable, accessible data.

This position offers significant ownership, autonomy, and exposure to leadership as the organization continues to scale.

What You’ll Do
Data Engineering & Pipeline Development

• Own, maintain, and optimize approximately 20 existing production data pipelines.
• Design, build, and deploy new data pipelines to support business growth and evolving operational requirements.
• Develop and maintain scalable ETL/ELT processes across multiple business systems.
• Monitor data workflows, troubleshoot issues, and ensure high levels of reliability and accuracy.
• Improve data architecture, data quality, and pipeline performance.

Operational Data & Systems

• Integrate data from ERP, project management, design, manufacturing, inventory, and operational systems.
• Ensure source system accuracy and integrity to support reporting and decision-making.
• Build solutions that provide visibility into manufacturing output, inventory levels, project status, and operational performance.
• Ingest and manage public datasets to support strategic business initiatives and market analysis.

Cross-Functional Partnership

• Partner with stakeholders across operations, manufacturing, supply chain, project management, and business teams.
• Gather requirements, identify opportunities for automation, and deliver actionable data solutions.
• Translate technical concepts into clear business insights for non-technical stakeholders.
• Serve as a trusted partner helping teams leverage data to improve efficiency and execution.

What Success Looks Like
During your first 6 to 12 months, you will:

• Become the primary owner of critical operational data pipelines.
• Improve visibility into key manufacturing and inventory workflows.
• Increase confidence in source-system data quality and reporting accuracy.
• Build new data products and integrations that help teams scale efficiently.
• Create stronger data connectivity across operational functions and business stakeholders.

Required Qualifications

• 2-4 years of experience in Data Engineering, Analytics Engineering, or a related field.
• Advanced SQL skills with a strong understanding of relational databases.
• Experience building, maintaining, and scaling data pipelines and ETL/ELT processes.
• Strong communication and stakeholder management abilities.
• Ability to work independently in a fast-paced, high-growth environment.
• Proven track record of owning problems end-to-end and delivering business impact.
• Experience working across multiple domains rather than a narrowly specialized technical scope.

Preferred Qualifications

• Experience working with ERP platforms, particularly NetSuite or similar enterprise systems.
• Experience with transactional databases and operational business systems.
• Proficiency in Python.
• Experience with dbt, Spark, Databricks, or modern data platforms.
• Experience integrating APIs and third-party data sources.
• Familiarity with TypeScript or software engineering fundamentals.

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