European Tech Recruit

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 Name

European Tech Recruit

Job Title

Infrastructure Engineer - AI / Python / Distributed Systems

Job Description

Job Title: Infrastructure Engineer – AI / Python / Distributed Systems Role Summary: Design and build highly scalable, distributed AI systems that deliver high performance, reliability, and efficient resource utilization across cloud and serverless environments. Expectations: - Hold a PhD in Computer Science, Distributed Systems, Machine Learning, or a closely related field. - Demonstrated experience with large‑scale, production‑grade cloud systems emphasizing scalability, reliability, and performance. - Proven ability to prototype and transition research concepts into production. Key Responsibilities: - Architect, develop, and optimize distributed systems supporting AI workloads. - Write robust code primarily in Python (C++ optional) for scalable, maintainable solutions. - Rapidly develop proof‑of‑concept prototypes to validate research ideas. - Integrate prototypes into production, including serverless and containerized deployments. - Implement resource scheduling and orchestration to maximize throughput and resource efficiency. - Collaborate with cross‑functional teams to advance AI infrastructure, data systems, and cloud computing capabilities. Required Skills: - Deep knowledge of distributed systems, cloud computing, and machine learning infrastructures. - Expertise with container orchestration (Docker, Kubernetes) and serverless platforms. - Strong programming proficiency in Python and C/C++. - Experience with resource scheduling, task orchestration, and performance optimization. - Ability to design for reliability, fault tolerance, and high availability. - Familiarity with multi‑agent systems and advanced ML deployment strategies. Required Education & Certifications: - PhD in Computer Science, Distributed Systems, Machine Learning or equivalent. - Relevant certifications in cloud platforms (e.g., AWS, Azure, GCP) or container technologies are a plus.

Edinburgh, United kingdom

On site

07-09-2025

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 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