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European Tech Recruit

European Tech Recruit

eu-recruit.com

8 Jobs

1 Employees

About the Company

European Tech Recruit is an award-winning technology recruitment agency. We take a personalised approach to connect top-tier tech talent with global tech industry leaders.
Our Sectors
• AI & Machine Learning
• Semiconductor
• Automotive Tech
• Software Engineering
• Wireless & IoT
• Embedded Systems
• Industry 4.0 & Robotics
• Cutting Edge Research
• Life Sciences
• Gaming & Graphics
• Battery Tech & EV
• Renewable Energy
• Telecom Network Equipment
• Data Science
• Cloud Computing
• C-Suite
• Sales & Marketing

Our Approach To Tech Recruitment
With our 15+ years of expertise in technology recruitment, we have established ourselves as industry leaders, proficient at sourcing top talent globally to staff the most advanced technology projects out there.
We're skilled at finding not just the right skills, but also the right cultural fit. We speak the language of engineers and developers across cutting-edge industries while aligning with your company's broader hiring strategies. With our local insights and global reach, we help your business outpace competitors in the talent race.
80% of our clients trust us to be their primary tech recruitment agency within 12 months of working with us, and for good reason. Whether you are searching for a tech recruitment agency to source talent for highly specialised, niche roles or need to fill fifty vacancies globally on an urgent basis, we always deliver. From working with renowned, global tech businesses to disruptive tech start-ups, we can fulfil even the most challenging remits, with the expert knowledge and established networks to do so.



#ArtificialIntelligence #Automotive #ComputerVision #Semiconductors #EmbeddedSystems #STEM #Wireless #IoT #Webtech #CyberSecurity #AugmentedReality #VirtualReality #FMCG #Food&Beverage #LifeScience #Automation #Industry4.0 #DigitalTransformation

Listed Jobs

Company background Company brand
Company Name
European Tech Recruit
Job Title
Technical Insight AI Agent Engineer
Job Description
Job Title: Technical Insight AI Agent Engineer Role Summary: Design, develop, and maintain AI agent systems that extract, analyse, and summarise technical information from diverse internal and external sources, enabling data‑driven decision making and trend identification. Expactations: Deliver production‑grade agent solutions (assistants, insight tools), collaborate with research and engineering teams, support technical intelligence workflows, and adhere to project objectives. Key Responsibilities: - Extract structured and unstructured data from internal repositories and external sources (websites, research papers, APIs). - Build multi‑agent architectures for complex tasks, defining roles, planning goals, decomposing sub‑tasks, integrating tools, managing state, and enabling long‑chain reasoning. - Construct agent pipelines to retrieve, analyse, and summarise technical content into high‑accuracy reports. - Deploy and maintain production‑ready AI agent solutions. - Work with cross‑functional teams to support technical intelligence operations. - Execute additional duties as needed to meet project goals. Required Skills: - 2+ years experience building AI agent systems, especially multi‑agent workflows. - Proficiency with LangChain, AutoGen, LlamaIndex, or similar frameworks. - Strong prompt engineering and context engineering abilities. - Hands‑on experience with Retrieval‑Augmented Generation (RAG). - Advanced Python programming and software engineering practices for production delivery. - Familiarity with DevOps practices, CI/CD pipelines, Docker, Kubernetes, and cloud platforms. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, AI, or related field (PhD preferred).
London, United kingdom
On site
Junior
27-11-2025
Company background Company brand
Company Name
European Tech Recruit
Job Title
Artificial Intelligence / Machine Learning Engineer
Job Description
**Job title:** Artificial Intelligence / Machine Learning Engineer **Role Summary:** Design, develop, and deploy AI‑driven predictive models for healthcare and accessibility. Convert real‑world clinical data (EHRs, wearables, sensors) into reliable, explainable solutions that meet regulatory standards and deliver measurable patient outcomes. **Expectations:** - Translate research concepts into production‑ready code within regulated environments. - Demonstrate clinical relevance, explainability, and compliance with GDPR, MDR, HIPAA, and EHDS. - Collaborate with clinicians, researchers, and engineering teams to deliver clear technical documentation and structured deliverables. **Key Responsibilities:** - Build and optimise machine‑learning models for disease prediction, early diagnosis, and personalised care. - Process structured and unstructured healthcare data; apply feature engineering, handle missing values, and characterise outliers. - Develop time‑series models on physiological signals (ECG, PPG) and validate against clinical metrics. - Implement explainable AI methods to ensure transparency in clinical settings. - Create multimodal AI solutions for accessibility (text, image, audio). - Ensure compliance with HL7, FHIR, and all relevant healthcare regulations. - Produce technical documentation, visualisations, and deliverables for EU‑funded projects. - Work independently while coordinating cross‑functional teams and external partners. **Required Skills:** - Python (data analysis, hypothesis testing, machine learning). - Supervised/unsupervised learning, model evaluation (AUC‑ROC, precision, recall, cross‑validation). - Time‑series analysis of physiological signals (ECG, PPG). - Data visualisation with Matplotlib or Seaborn. - Experience with real‑world healthcare datasets (EHR, wearables, IoT). - Familiarity with HL7, FHIR, GDPR, MDR, HIPAA, EHDS. - Strong documentation, communication, and independent problem‑solving. **Required Education & Certifications:** - PhD in biomedical engineering, health data science, machine learning, or equivalent with ≥2 years experience; - or MSc in a related field with ≥5 years experience.
Staines-upon-thames, United kingdom
On site
Junior
13-01-2026
Company background Company brand
Company Name
European Tech Recruit
Job Title
Lead AI Engineer
Job Description
Job Title Lead AI Engineer (Cloud & Machine Learning) Role Summary Architect, develop, and scale production‑grade AI/ML services on cloud platforms, driving end‑to‑end lifecycle from design to deployment and continuous improvement. Lead technical direction and mentor a team while remaining actively hands‑on. Expectations - Deliver reliable, high‑performance ML systems for large‑scale consumer and enterprise platforms. - Manage full service lifecycle: architecture, coding, testing, deployment, monitoring, and optimization. - Integrate AI models into real business workflows in collaboration with product, engineering, and data teams. - Adopt modern DevOps practices for CI/CD, containerization, and cloud infrastructure. - Provide technical guidance and mentorship to junior engineers while driving hands‑on coding. Key Responsibilities - Lead design and evolution of cloud‑based AI/ML services. - Build and deploy scalable, maintainable ML models (Python, PyTorch/TensorFlow) in production environments. - Own system architecture, data pipelines, and model integration across product lines. - Implement CI/CD pipelines, Docker, Kubernetes, and cloud tooling (preferably AWS). - Mentor engineers, set coding standards, and conduct code reviews. - Monitor model performance, troubleshoot issues, and drive iterative improvements. Required Skills - Senior/Lead AI or Machine Learning Engineer experience. - Strong Python programming and solid software engineering fundamentals. - Proven record of deploying ML models into production. - Experience with AWS and cloud‑native services. - Proficiency in PyTorch or TensorFlow. - Containerization (Docker, Kubernetes) and CI/CD practices. - Ability to design system architectures, data pipelines, and integrate ML models. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) preferred.
Brussels, Belgium
Hybrid
Senior
29-01-2026
Company background Company brand
Company Name
European Tech Recruit
Job Title
Risk Manager - GRC / Cyber / Third-Party
Job Description
**Job Title** Risk Manager – GRC / Cyber / Third‑Party **Role Summary** Manage enterprise risk across information security, cyber, and third‑party domains. Strengthen risk governance within ServiceNow IRM, conduct supplier assessments, develop risk metrics, and partner with technical and business leaders to drive remediation and visibility. **Expectations** - Deliver robust risk assessments and quantification using FAIR. - Implement and refine ServiceNow IRM risk framework. - Communicate risk insights to senior leadership through metrics and dashboards. - Lead vendor risk evaluations and contract reviews for a global vendor portfolio. - Champion automation and AI to improve GRC efficiency. **Key Responsibilities** - Enhance and maintain the Information Security Risk Management Framework in ServiceNow IRM, applying qualitative and quantitative principles. - Lead structured supplier risk assessments, review complex contracts, and manage ongoing monitoring across a global vendor ecosystem. - Conduct root‑cause analyses of incidents, integrating lessons into the control environment. - Develop and track Key Risk Indicators (KRIs) and Key Control Indicators (KCIs) for critical assets. - Partner with engineering and business leads to enforce remediation accountability and accelerate risk visibility. - Translate technical risks into actionable business insights for senior leadership via metrics and dashboards. - Promote AI and automation to streamline GRC processes and improve efficiency. **Required Skills** - Hands‑on experience with risk quantification (FAIR) and ServiceNow IRM. - Deep knowledge of NIST CSF, NIST SP800‑53, and ISO 27001 frameworks. - Proven ability to lead high‑stakes vendor assessments and navigate technical stakeholder dynamics. - Strong analytical skills to build and interpret risk metrics and dashboards. - Excellent communication for conveying risk concepts to non‑technical audiences. - Familiarity with AI and automation tools in a GRC context. **Required Education & Certifications** - Minimum bachelor’s degree in Information Security, Risk Management, or related field. - Certification preferred: CRISC, CISM, CISSP, or FAIR.
Cambridge, United kingdom
Hybrid
04-02-2026