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European Tech Recruit

European Tech Recruit

eu-recruit.com

3 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
Product Solutions Engineer
Job Description
Job Title: Product Solutions Engineer Role Summary: Acts as the technical liaison between a scaling security semiconductor company and its customers, delivering secure digital infrastructure solutions. Expectations: - Communicate complex technical concepts to both technical teams and senior decision‑makers. - Drive pre‑sales and post‑sales activities, including demos, proofs‑of‑concept, and solution architecture. - Build lasting relationships with IT teams, executives, and technical architects. Key Responsibilities: 1. Lead customer engagements from requirement gathering to solution delivery. 2. Design, develop, and present product demos, lab environments, and proof‑of‑concept solutions. 3. Provide expert technical guidance on networking, secure communications, encryption, and IT infrastructure. 4. Create and maintain solution architecture documentation for RFI/RFP processes. 5. Collaborate with internal teams to translate customer needs into product configurations and road‑map priorities. 6. Ensure compliance with cybersecurity frameworks (Cyber Essentials, ISO 27001) and industry standards. 7. Maintain eligibility for German Security Clearance (SÜG) and support UK government or regulated sector customers when required. Required Skills: - Strong understanding of networking, secure communications, encryption, and enterprise IT infrastructure. - Proven experience in pre‑sales engineering, post‑sales support, or solution consulting for complex hardware/software products. - Ability to translate customer requirements into secure, scalable technical solutions. - Excellent written and verbal communication; capable of engaging both technical and non‑technical stakeholders. - Hands‑on experience delivering demos, lab setups, and POCs. - Stakeholder management skills with IT teams, senior executives, and technical architects. - Familiarity with cloud platforms, hybrid infrastructures, and secure data storage solutions. - Knowledge of cybersecurity frameworks and standards (Cyber Essentials, ISO 27001). - Understanding of RFI/RFP processes and solution architecture documentation. Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, Information Technology, or related field. - Professional certifications such as CCNP/CCIE, AWS/Azure Security, CompTIA Security+ (preferred). ---
London, United kingdom
On site
17-11-2025
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