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 and AI Strategy Consultant
London
£90000 - £100000
+ Data Science & AI
PermanentLondon
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Principal Data and AI Strategy Consultant
London hybrid working, three days on site. Principal £90,000 to £110,000 plus bonus.
This is an opportunity to step into a high impact Data and AI Strategy role within a growing consulting practice where strategy, governance and advisory work sit firmly at the centre. You will work closely with senior stakeholders to shape how organisations design, govern and scale AI, including GenAI, without being pulled into hands on build or delivery.
The Company
They are a well established management consultancy operating across financial services and other highly regulated industries, with a strong reputation for delivering end to end transformation. Their approach focuses on embedding specialist squads into client organisations to drive meaningful change. Data and AI strategy is a key growth area, with increasing demand from C suite leaders looking for clear direction on AI adoption and governance.
The Role
You will sit within a UK based Data and AI Strategy team, advising senior leaders on how to define, refine and execute AI strategies. The role is advisory led and highly client facing.
Key responsibilities include:
- Defining data and AI strategies aligned to business objectives and regulatory environments
- Advising on AI governance, GenAI policy and responsible AI frameworks
- Identifying and prioritising AI use cases based on value, risk and feasibility
- Assessing organisational readiness for AI and designing future state operating models
- Leading workshops and stakeholder sessions with senior business and technology leaders
- Supporting clients in build versus buy decisions without owning technical implementation
- Contributing to thought leadership, propositions and internal capability building
Your Skills and Experience
- Strong consulting or advisory experience within data, AI or digital strategy
- Exposure to AI governance, GenAI strategy or operating model design
- Confidence working with senior stakeholders and translating complex topics into clear narratives
- Experience in regulated environments such as financial services, energy or similar industries
- Solid understanding of how consulting engagements are structured and delivered
- Commercial awareness and storytelling skills rather than deep technical development expertise
What They Offer
- Competitive salary with performance related bonus
- Private medical insurance and life insurance
- Pension contribution with enhanced employer matching
- 25 days annual leave with the option to buy or sell days
- Hybrid working model with a Shoreditch office base
- Dedicated business coach and clear progression based on performance rather than tenure
- No time at level policy
How to Apply
If you are interested in shaping AI strategy at a senior advisory level within a growing consulting team, apply below!

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Data Platform Architect
Remote
$206884.9 - $243394
+ Data Engineering
PermanentUnited States Virgin Island
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Location: Remote (US only)
Compensation: Up to 200K
This role has extremely high visibility and impact across the company wide data architecture and requires strong experience to be a self-starter. This means you must have worked in a relevant field and have the ability to come in as a SME.
The role:
- Design and manage the company wide data platform architecture
- Own tool selection, data integrations, and system functionality
- Act as SME across the data stack – Snowflake, DBT, Python, AWs
- Continuously evaluate and implement new integrations
- Evolve data integration always seeking to find new advancements to implement
- Ensure scalability, reliability, and performance of the data platform
- Partner with Data Engineering teams to ensure smooth delivery of Data Pipelines
The Requirements:
- Strong experience in the relevant tech stack – Snowflake, DBT, AWS
- Extensive experience in Data Engineering with at least 3 years being at the platform or architecture level
- Deep Experience in Data Architecture and Infrastructure
- Healthcare experience is a very strong preference

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Principal Software Engineer
San Francisco
$280000 - $350000
+ Data Engineering
PermanentSan Francisco, California
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PRINCIPAL SOFTWARE ENGINEER
BAY AREA, CA (3 DAYS IN OFFICE)
$280,000 – $350,000+ (BASE + EQUITY)
An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.
THE COMPANY
A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.
THE ROLE
Hands-on engineering and AI work across the platform:
- Build agentic GenAI workflows using internal datasets
- Develop marketing and growth systems: email delivery, personalization, engagement tracking
- Create commercial AI models to understand user behavior and engagement
- Collaborate across product and engineering teams
- End-to-end coding, system design, and customer validation
YOUR SKILLS & EXPERIENCE
- Backend: Python, Django or Flask or FastAPI
- Frontend: React
- Cloud/Infrastructure: AWS
- Databases: PostgreSQL
- AI/ML: OpenAI; knowledge of agent systems helpful
- Experience with large-scale data and knowledge systems is a plus
- Comfortable working in a lean, high-ownership environment
HOW TO APPLY
Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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Staff AI Engineer
Manhattan
$250000 - $350000
+ Data Science & AI
PermanentManhattan, New York
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STAFF AI ENGINEER
New York, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll turn foundation models into reliable, scalable systems that power copilots, automation, and internal AI workflows.
You’ll operate across architecture and implementation with fast iteration from idea to production.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and chat-based systems
- Text-to-code and natural language SQL interfaces
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable, secure GenAI deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build foundational GenAI systems with real enterprise impact
- High ownership across architecture and execution
- Fast iteration cycles from idea to production
- High visibility and technical influence
- Opportunity to shape core AI infrastructure

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Staff AI Engineer
Palo Alto
$250000 - $350000
+ Data Science & AI
PermanentPalo Alto, California
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STAFF AI ENGINEER
Palo Alto, California, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.
You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and conversational AI systems
- Text-to-code and natural language SQL systems
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable GenAI infrastructure and deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build and scale core GenAI infrastructure with real impact
- High ownership from architecture through production
- Fast iteration cycles and strong technical autonomy
- High visibility with senior technical leadership
- Opportunity to shape foundational AI systems at scale
- Opportunity to shape foundational AI systems at scale

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Senior Software Developer
London
£75000 - £85000
+ Data Engineering
PermanentLondon
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SENIOR SOFTWARE DEVELOPER
£85,000
GUILDFORD
This is an opportunity to join an innovation‑led software consultancy working on complex, real‑world engineering problems. The role offers high levels of autonomy, technically challenging work, and exposure to a wide variety of short‑to‑mid‑term projects.
THE COMPANY
Our client is a specialist software consultancy delivering bespoke products for organisations operating in highly constrained, problem‑heavy environments. They focus on technical excellence, innovation and delivery quality, offering engineers the chance to work on challenging systems rather than repetitive product features.
THE ROLE
- Design and build end‑to‑end software solutions
- Work as a senior full‑stack engineer (backend‑leaning)
- Own delivery of complex technical problems
- Build, deploy and support cloud‑based systems
- Collaborate with engineers and data specialists on production solutions
- Contribute to technical decisions and coding standards
YOUR SKILLS AND EXPERIENCE
- 5+ years commercial software development experience
- Strong Java and Spring / Spring Boot background
- Frontend experience with Angular (React or Vue also acceptable)
- Experience building microservices and APIs
- Cloud experience (Azure preferred, AWS acceptable)
- Comfortable working independently with minimal supervision
LOCATION & WORKING PATTERN
- Hybrid working
- Office within 30 minutes commute from London Waterloo
SALARY AND BENEFITS
- Up to £80,000 base salary
- Pension contribution
- 25 days holiday plus bank holidays (option to buy more)
- Paid training days and charity days
- Option to work remotely from abroad for part of the year
SECURITY REQUIREMENTS
- Must be eligible to obtain UK Security Clearance
- No sponsorship available
HOW TO APPLY
Please submit your CV to Harry Lack for review through the ‘apply’ link.

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Software Developer
London
£45000 - £50000
+ Data Engineering
PermanentLondon
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SOFTWARE DEVELOPER
£50,000
LONDON
Our client is looking for a Software Developer to join a well‑established, digital‑first organisation with a heavy investment in data, analytics, and modern engineering practices. This is a growth role for someone who enjoys writing clean, well‑structured Python, taking ownership of production code, and working in an environment where adaptability and collaboration really matter.
THE COMPANY
A UK‑based, consumer‑facing organisation operating at national scale, with millions of customers and a strong reputation for being technology‑led. The business has been investing heavily in digital transformation, growing headcount significantly over the past two years and continuing to build out its engineering and data capabilities.
THE ROLE
- Design, develop, and maintain Python code supporting core internal platforms
- Take ownership of a significant portion of the codebase, progressing changes from development through to deployment
- Write clean, well‑structured, object‑oriented Python code following best practices
- Use GitHub for version control, code reviews, and pull requests
- Work collaboratively with engineers, analysts, and data professionals across the wider team
- Adapt to different ways of working and contribute positively to technical discussions and feedback loops
YOUR SKILLS AND EXPERIENCE
- 2-3 years’ experience working as a Software Developer (experience level flexible for strong candidates)
- Strong Python development skills with a good grounding in OOP principles
- Experience working with version control (Git) and collaborative coding workflows
- Curious, adaptable, and keen to learn within a complex technical environment
SALARY AND BENEFITS
- Base salary: £50,000
- Mostly remote working (fortnightly collaboration days in London)
- Stable, well‑funded business with long‑term technical investment
- Opportunity to grow responsibility and technical ownership over time
- Exposure to high‑quality engineering and data practices

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Senior Software Engineer
London
£75000 - £85000
+ Data Engineering
PermanentLondon
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SENIOR SOFTWARE ENGINEER
£85,000
LONDON
We’re working with a well‑established digital media and technology organisation who are growing their engineering function and hiring Senior Software Engineers to help shape the next phase of their internal platforms.
This role suits engineers who enjoy thinking beyond tickets, people who ask why, challenge assumptions, and care about designing systems properly rather than just shipping code.
THE COMPANY
A large‑scale media and advertising business operating across physical and digital environments, supporting both public‑sector and commercial clients. The organisation blends traditional infrastructure with modern, data‑led technology and is in the process of modernising a number of core internal systems.
The engineering culture is collaborative and pragmatic, with a strong emphasis on building systems that are maintainable, scalable, and aligned with real business needs rather than short‑term fixes.
THE ROLE
- Design, build, and evolve backend services using Node.js
- Contribute to and lead development of React / Next.js front‑end applications
- Take ownership of features from discovery through to delivery, thinking through priorities, trade‑offs, and long‑term impacts
- Help shape system architecture for a major internal platform managing advertising campaigns end‑to‑end
- Work closely with Product, Architecture, and other Engineering teams to ensure solutions are well‑designed and fit for purpose
- Act as a technical sounding board for less‑senior engineers, providing guidance and reviewing approaches rather than simply approving code
- Ensure code quality, performance, and maintainability across the platform
TECH STACK
- Node.js (backend)
- React / Next.js (frontend, React being the priority)
- AWS (open to other clouds)
- Python is a nice‑to‑have, mainly for data and AI‑related work
- Kubernetes experience is welcome but not required
SALARY & BENEFITS
- £85,000 base salary
- Annual bonus
- Hybrid working (2 days per week in the office)
- Competitive benefits package
