Enterprise AI architecture, readiness, and delivery for regulated organisations, from assessment through implementation.
Enterprise AI Services
Design, integrate, and operate digital infrastructure that connects your business securely and at scale.
Infrastructure Services
Always-on managed operations across SOC, cloud, DevOps, MLOps, and application platforms.
Cloud migration, modernisation, and transformation programmes aligned to business outcomes.
Cloud Services
Security architecture, managed SOC, vCISO, compliance, and incident response for regulated sectors.
Specialist talent and team outsourcing across digital, cloud, data, AI, and security disciplines.
Talent & Outsourcing
Industries
Resources
Build data engineering, analytics, and AI teams that can turn data into insights, and insights into action.
We help you find talent who understand both the technology and the business, from data engineers and ML engineers through to AI governance professionals.
We source data engineers who can build robust pipelines, data scientists who can extract insights, and ML engineers who can operationalise models, all with experience in enterprise environments.
We also find analysts and AI governance professionals who can translate data into actionable insight and keep AI initiatives aligned to your risk appetite.
Data professionals who understand both the modelling and the production engineering side are genuinely scarce.
Plenty of candidates can talk fluently about AI, but far fewer have actually shipped a model into a live production system.
Generalist recruiters rarely screen for AI governance or regulatory awareness, leaving risk unmanaged.
Data engineering hires who can't handle messy, high-volume enterprise data leave pipelines fragile from day one.
AI initiatives stall when a contract data scientist leaves without a structured knowledge transfer plan in place.
Screened against real pipelines and production models, not just tooling lists.
We assess candidates against the kind of data volumes, governance requirements, and production AI systems your organisation actually runs, so hires can contribute from day one.
A review of your data platform, AI roadmap, and where capability gaps sit.
Candidates sourced and screened against your specific data stack and AI maturity.
Permanent, contract, or interim placement with coordinated onboarding support.
Post-placement check-ins to confirm the hire is delivering as expected.
Engineers who build robust, scalable pipelines connecting core systems, applications, and platforms.
Specialists who extract insight and translate data into decisions the business can act on.
Engineers who operationalise models and integrate them safely into production systems.
Specialists who keep AI initiatives aligned to policy, regulation, and your risk appetite.
How organisations use SynaptekX to close data and AI capability gaps quickly.
A healthcare provider needed a data engineering function capable of handling clinical data at scale, built where none previously existed.
A retailer needed to rapidly scale its ML engineering capacity to ship a new recommendation engine to a fixed launch date.
A bank needed a named AI governance lead in place quickly, ahead of a regulator's scheduled review of its AI use cases.
A telecom operator needed a dedicated data science team to build and maintain churn prediction models across millions of customer records.
A healthcare provider had clinical data spread across disconnected systems with no dedicated engineering function able to build the pipelines needed to unify it safely.
A retailer had committed to a launch date for a new recommendation engine but its ML engineering team was too small to operationalise the model in time.
A bank had a growing portfolio of AI use cases and a confirmed regulatory review date, but no named individual owning AI governance and risk documentation.
A telecom operator wanted to build churn prediction capability across millions of customer records but had no dedicated data science team and a hiring market it didn't have relationships in.
Organisations partnering with SynaptekX for data and AI talent can achieve:
Data and AI specialists sourced and screened faster than a generalist search allows.
Candidates vetted against real production pipelines and models, not just a tooling checklist.
Hires who understand governance and risk, so AI initiatives stay aligned to policy from the start.
Consistent ownership of data platforms and models through growth and team transitions.
Flex between permanent, contract, and interim data and AI capacity as your roadmap evolves.
Teams capable of scaling from a single pipeline to enterprise-wide production data systems.
Five reasons organisations trust SynaptekX with their data and AI hiring.
Every candidate screened against real pipelines and production models, not portfolio slides.
Nine in ten shortlisted candidates match the brief the first time, not the third.
Permanent, contract, or interim placement scaled to your roadmap and budget cycle.
An 11-day average interim placement, so capability gaps get closed quickly, not months from now.
Every AI hire screened for regulatory and governance awareness, not just technical skill.
Permanent placement, contract, interim, and blended arrangements, scaled to whether you're building a permanent function or need to hit a fixed delivery date.
Most briefs return a first shortlist within days, and our average interim placement completes in 11 days from brief to start date.
Through technical screening against your real data volumes and production systems, plus a governance and regulatory awareness check for AI-facing roles.
It depends on whether you're covering a defined delivery milestone or building lasting in-house capability. We'll advise based on your roadmap during the discovery call.
Yes. Interim AI governance leads are one of our fastest-growing placement categories, often mobilised ahead of a fixed regulatory deadline.
Explore the rest of our specialist talent tracks.
Cloud architects, platform engineers, and transformation leads across AWS, Azure, and GCP.
SOC analysts, security architects, GRC specialists, and interim CISOs.
Network engineers, data centre specialists, and infrastructure architects.
Full stack engineers, DevOps specialists, and engineering leads across every stack.
Product managers, programme directors, and delivery leads for complex transformation.
Data engineers, scientists, and ML engineers sourced against real production requirements.
Get in touch, and discover how our AI-driven expertise can propel your next phase of digital growth
5 St John’s Lane, London, England, EC1M 4BH
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