DigiTech Resourcing

About the Company

Here at DigiTech Resourcing we focus on delivering the cream of digital talent across Europe and US. We specialise in the following areas:

• Web Development/Design (UI/UX)
• Javascript (NodeJS, ReactJS, AngularJS, Vue etc)
• Java Technologies
• .Net MS Technologies
• DevOps
• Big Data/Data Scientists
• Windows Infrastructure Support /Service Management
• QA/Testing – including Mobile (Android, iOS)
• Architecture
• Project Management/Business Analysis/Product Management
• Senior Appointments (Dev Managers, CTO, CIO, CDO)


Our partnership approach allows us to not only focus on our client’s immediate recruitment needs, but also to take a more long-term and holistic approach, such as; skill gap analysis, retention/attrition strategy and talent pipelines, employer branding.

Get In Contact -
admin@digitechresourcing.co.uk

Listed Jobs

Company Name

DigiTech Resourcing

Job Title

AI Engineer – HealthTech Start-up

Job Description

**Job Title** AI Engineer – HealthTech Start‑up **Role Summary** Design, develop, and deploy AI/ML solutions to address real‑world healthcare problems. Collaborate with product, clinical stakeholders, and founders to translate complex requirements into robust models and pipelines, while influencing technical strategy and company culture in a fast‑moving, early‑stage environment. **Expectations** - Early‑stage contributor shaping role responsibilities and technical direction. - Rapid prototyping, experimentation, and iterative development based on stakeholder feedback. - Drive model architecture decisions, data pipeline design, and MLOps practices. **Key Responsibilities** - Build and train AI/ML models using Python and frameworks such as PyTorch, TensorFlow, and scikit‑learn. - Design and implement data pipelines for ingestion, cleaning, and feature engineering from clinical datasets. - Deploy trained models to production environments, ensuring performance, scalability, and compliance. - Collaborate closely with product, clinical, and founding teams to translate user stories into technical solutions. - Iterate on prototypes based on metrics and stakeholder insights; maintain documentation and experiment logs. - Contribute to architecture discussions around model serving, monitoring, and MLOps tooling. **Required Skills** - Strong background as an AI/ML Engineer or equivalent. - Proficient in Python and experience with ML libraries (PyTorch, TensorFlow, scikit‑learn). - Hands‑on experience deploying models to production (cloud or on‑prem). - Ability to work effectively in small, rapid‑development teams. - Familiarity with healthcare, life sciences, or regulated data environments is highly advantageous. - Excellent problem‑solving, communication, and collaboration skills. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Biomedical Engineering, or related field. - Certifications in relevant ML frameworks or cloud MLOps platforms (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate) are a plus.

London, United kingdom

Hybrid

06-01-2026

Company Name

DigiTech Resourcing

Job Title

Senior Security Risk Specialist

Job Description

**Job Title:** Senior Security Risk Specialist **Role Summary:** Lead and evolve the security risk management framework for a technology-focused organization operating in a cloud‑first environment. Provide expert risk assessments, define mitigation strategies, and advise engineering and product teams while enhancing risk reporting, metrics, and automation opportunities. **Expectations:** - Deliver high‑quality risk assessments and actionable recommendations. - Maintain and improve risk governance processes and reporting. - Communicate risk concepts effectively to technical and non‑technical stakeholders. - Identify and implement automation and AI/LLM‑enabled solutions for risk management. **Key Responsibilities:** - Operate and continuously improve the security risk management framework. - Conduct comprehensive security risk assessments, especially for AWS cloud services. - Develop and track mitigation strategies and risk treatment plans. - Advise engineering and product teams on appropriate controls and risk‑based decisions. - Enhance risk metrics, dashboards, and visibility for senior leadership. - Explore and implement automation, including responsible use of AI/LLMs, to streamline GRC activities. - Utilize GRC tools to document, monitor, and report on risk posture. **Required Skills:** - Strong background in security risk management within technology or regulated sectors. - Deep experience with cloud security risk assessments (AWS mandatory). - Knowledge of ISO 27001, NIST, SOC 2, PCI‑DSS frameworks. - Proficiency with GRC platforms and risk assessment tools. - Ability to engage and influence both technical and business stakeholders. - Consulting mindset with a focus on practical, outcome‑driven solutions. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience). - Professional certifications such as CISM, CRISC, CISSP, or comparable.

London, United kingdom

Hybrid

Senior

26-01-2026