The Data And AI Podcast

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Title: Research Engineer, Data

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, research-meets-engineering role focused on the data that powers advanced AI systems. You’ll own how models learn, designing datasets, running experiments, and building data pipelines that directly shape model capabilities across a wide range of applications.

What You’ll Do

• Design multimodal, multitask datasets to unlock new model capabilities
• Run controlled experiments to understand how data impacts model performance
• Build and scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluation frameworks and benchmarks to measure real-world model improvement
• Partner with cross-functional teams to translate product goals into data strategies

Requirements

• 4+ years of experience in machine learning, ideally with a data-centric focus
• Experience working with large multimodal datasets and generative models
• Strong intuition for how data quality and composition impact model behavior
• Experience across the full ML lifecycle, from data to training to evaluation
• Proficiency with ML frameworks such as PyTorch or JAX
• Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
• Strong interest in advancing next-generation AI systems

Nice to Have

• Experience with synthetic data generation or data curation at scale
• Background working on multimodal or video-based models
• Exposure to evaluation and benchmarking for generative systems

If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.

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Title: Senior AI Engineer

Location: Remote, United States

Compensation: Up to $240,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 6+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

To Apply for this Job Click Here

To Apply for this Job Click Here

Title: Research Engineer, GPU

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a deeply technical, high-impact role focused on making large-scale AI systems faster, more efficient, and capable of running in real time. You’ll work across the stack, from low-level GPU kernels to distributed training systems, directly influencing what is computationally possible for next-generation AI models.

What You’ll Do

• Optimize training throughput across large GPU clusters, improving efficiency and utilization
• Implement techniques such as mixed precision (FP8, BF16), memory-efficient attention, and checkpointing
• Design and scale distributed training systems (tensor parallelism, FSDP, multi-node setups)
• Profile and optimize inference pipelines for real-time multimodal generation
• Improve latency through CUDA graphing, KV cache optimization, and operator fusion
• Contribute across the stack, from kernel-level optimization to system-level architecture

Requirements

• 4+ years of experience in systems engineering, ML infrastructure, or performance optimization
• Strong experience with GPU programming (CUDA, Triton, or similar)
• Experience with distributed systems and large-scale training (NCCL, model parallelism)
• Familiarity with ML framework internals such as PyTorch or JAX
• Experience with mixed or low-precision techniques (FP8, INT8, BF16)
• Proven experience building and operating scalable, fault-tolerant training systems
• Strong interest in pushing the limits of performance for cutting-edge AI systems

Nice to Have

• Experience with compiler optimizations or model compilation (e.g., PyTorch compile)
• Background working on large multimodal or generative models
• Exposure to real-time inference systems

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

To Apply for this Job Click Here

To Apply for this Job Click Here

Title: Staff AI Engineer

Location: Remote, United States

Compensation: Up to $280,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 10+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Infrastrucure Analyst

Position: Infrastrucure Analyst

Location: Amsterdam

Employment Type: [Full-time/Contract]

About the Role

This company are looking for an experienced hire they need an IT operations manager who is very broad on infrastructure, has some leadership experience has also worked as an architect.

The ideal candidate will have deep expertise in Microsoft’s Cloud Adoption Framework (CAF), enterprise-scale landing zone design, and the ability to navigate the complexities of large-scale, multi-region environments.

Key Responsibilities

• Architect and implement enterprise-scale Azure data landing zones that support global operations, ensuring scalability, performance, and security across multiple regions.
• Collaborate with global business and IT stakeholders to design data platforms aligned to corporate strategy and industry best practices.
• Define and enforce governance, compliance, and security standards (e.g., RBAC, encryption, data residency, privacy regulations).
• Establish repeatable frameworks and patterns for data ingestion, transformation, storage, and analytics in large-scale environments.
• Partner with engineering teams to deliver end-to-end data solutions using Azure services (Data Lake, Synapse, Databricks, Data Factory, Purview, Event Hubs, Azure SQL).
• Lead data modernization initiatives, including cloud migrations from legacy and hybrid environments.
• Optimize for global scale and performance, including multi-region replication, disaster recovery, and cost management.
• Mentor teams and provide architectural leadership across multiple business units and time zones.
• Stay at the forefront of Azure innovations, driving adoption of new features and services to improve enterprise capabilities.

Qualifications

• 10+ years of experience in data architecture, with at least 5+ years building solutions on Azure.
• Leadership knowledge preferred
• Proven experience designing and deploying Azure Landing Zones at enterprise scale.
• Hands-on expertise with Azure Data Services: Data Lake, Synapse, Databricks, Data Factory, Event Hub, Azure SQL/MI, and Purview.
• Strong knowledge of global-scale architecture, including data residency, sovereignty, and compliance (GDPR, HIPAA, etc.).
• Experience managing large, multi-region cloud environments in a global enterprise.
• Proficiency with Infrastructure as Code (Terraform/Bicep/ARM) and DevOps practices for data platform deployment.
• Demonstrated ability to influence senior stakeholders and communicate complex technical concepts clearly.
• Preferred certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure Security Engineer Associate.

Why Join Us

• Play a strategic role in shaping a global Azure data platform at enterprise scale.
• Work with cutting-edge cloud, data, and AI technologies in a complex, international environment.
• Collaborate with a diverse team across multiple regions, impacting business decisions worldwide.
• Competitive compensation, global career growth opportunities, and a culture of innovation.

To Apply for this Job Click Here

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AI Consultant
London, Leeds – 3dpw
£70-£90,000 plus benefits.

This is an opportunity to join a newly established AI lab within a large, data-driven organisation that plays a critical role in supporting smarter decision-making across regulated industries. Sitting at consultant level, this role offers a rare mix of hands-on model development, applied AI research and exposure to varied, high-impact projects, without being overly focused on deployment work.

The Company
They are a well-established organisation operating at scale, known for working with complex, high-volume datasets to support better commercial and risk decisions. Data and analytics sit at the heart of the business, with a strong culture of long-term career development and collaboration. Their AI lab is a newer function, created to enhance existing capabilities and drive innovation through advanced analytics and artificial intelligence

The Role

• Design, develop and enhance AI and machine learning models to support client and internal projects.
• Apply AI techniques such as LLMs, transformers and predictive modelling to real-world business problems.
• Contribute to research and development initiatives, including new product and model innovation.
• Work closely with stakeholders across data, analytics and wider business teams to integrate AI into decision-making.
• Present insights and recommendations clearly to technical and non-technical audiences.
• Support and guide others on best practice in modelling and analytical approaches.

Your Skills and Experience

• Strong commercial experience in credit risk within a lender, fintech or credit-focused data organisation.
• Proven capability in model development, including scorecards or other predictive models.
• Hands-on experience applying AI and machine learning, such as chatbots, LLMs or advanced ML models.
• Solid programming skills in Python and SQL.
• Experience exploring AI as an alternative or improved solution to existing lending or collections processes.
• Confident communicator, comfortable presenting technical work to varied stakeholders.

What They Offer

• Bonus, pension, private medical
• A high-impact role within a growing AI function, working on varied and meaningful projects.
• Clear scope for progression within a business known for strong retention and culture.
• Hybrid working with three set days in the office each week.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Consultant
London | Up to £90,000

This is a standout opportunity for an AI Consultant to join a growing AI and Analytics function at a well established data driven organisation. Sitting at consultant level within a specialist AI lab, this role offers the chance to work on varied, high impact projects that shape how AI is applied to complex commercial decision making.

The Company
They are a large, data led organisation whose core purpose is helping businesses make better, more accurate decisions using advanced analytics. With deep, proprietary data assets and long standing partnerships across financial services and other regulated industries, analytics sits at the heart of everything they do. They have recently invested heavily in a specialist AI Lab to accelerate the use of AI and machine learning across products and client solutions. The culture is collaborative and stable, with strong retention and clear long term career paths.

The Role
You will be part of a specialist AI lab focused on enhancing existing offerings and developing new AI driven solutions. The role is hands on and research led, with exposure to a wide range of use cases.
Key responsibilities include:

• Developing and enhancing AI and machine learning models, including scorecards and predictive models.
• Applying techniques such as LLMs, transformers and chatbots to real world business problems.
• Contributing to research and development for new products and innovative analytical approaches.
• Working closely with stakeholders to translate business problems into effective AI solutions.
• Supporting and guiding more junior team members where needed.

Your Skills and Experience

• Strong commercial experience in credit risk modelling within a lender, fintech or similar data rich environment.
• Proven capability in model development, particularly scorecards or predictive models.
• Hands on experience applying AI or machine learning, such as LLMs, chatbots or advanced ML techniques.
• Strong Python and SQL skills for data analysis and model development.
• Ability to communicate complex analytical concepts clearly to non technical audiences.

What They Offer

• Salary up to £90,000.
• Hybrid working with three set days per week in the office.
• Exposure to varied, high impact projects across multiple industries.
• Clear progression within a growing AI and Analytics function.
• A supportive culture where people tend to stay and build long term careers.

How to Apply
If you are looking for a role where you can apply AI to meaningful commercial problems and develop your career within a specialist data environment, apply now for immediate consideration.

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Data Scientist

London hybrid 2 days per week with flexibility for candidates based in the North | Salary up to £65,000

The Company
They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit organisations, with a strong focus on predictive modelling for marketing and customer insight.

The Role

• Build and refine predictive models, with a strong focus on propensity and scorecard style modelling.
• Translate client problems into analytical solutions through data discovery and stakeholder workshops.
• Work closely with subject matter experts, project managers and data analysts to deliver end to end projects.
• Train, test and optimise models, ensuring outputs are robust and commercially relevant.
• Present findings and recommendations to clients in a clear, engaging and non technical way.
• Contribute to reports, dashboards and insight packs that support client decision making.

Your Skills and Experience

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Practical experience building and validating predictive models, ideally within customer or marketing analytics.
• Comfortable working with large datasets and translating patterns into actionable insight.
• Experience working with cloud based analytics platforms, with Databricks being a strong advantage.
• Confident communicator who enjoys working directly with clients and stakeholders.
• An analytical background with curiosity to explore data beyond the initial brief.

What They Offer

• Salary up to £65,000 depending on experience.
• Hybrid working model with two days per week in London and flexibility for Northern based candidates.
• Exposure to a wide range of industries and business problems.
• Clear progression within a growing data science function, working alongside experienced practitioners.
• The chance to develop both technical and client facing skills in a collaborative environment.

How to Apply
If you are a Data Scientist looking for a role that blends advanced analytics with real client impact, apply now to learn more.

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