MPower Plus
About the Company
Mpower Plus is a trusted partner in strategic talent acquisition and staffing. Since 2011, Mpower Plus has developed strong alliances with global IT and non-IT firms, becoming a cornerstone in the industry. Our goal is to help our clients shape sustainable success and be prepared for ‘what’s next’.
Headquartered in the UK, our footprint spans key EU & Asian markets eg Benelux, DACH, India, Singapore, Korea and our recent focus on emerging markets eg Poland, Spain, Romania. With strategic locations, we have positioned ourselves to cater to diverse talent needs. At Mpower Plus, our expertise extends across multiple domains, ensuring top-notch staffing solutions for a variety of industries.
We bring more than just a network of candidates; we offer a strategic partnership built on deep industry expertise, a rigorous search methodology, and a global reach. Key factors that differentiate us are:
• Global Reach, Local Expertise: While we have a strong presence in major global markets, we have significantly expanded our operations in Eastern Europe, tapping into a growing pool of highly skilled technology and security leaders. Our ability to source candidates from diverse markets helps build truly global teams with local insights.
• Tailored Search Process: We take a consultative, tailored approach to each search, ensuring that we fully understand client’s unique needs and strategic goals before identifying the right candidates.
• Track Record of Success: Our firm has a proven track record of placing senior executives in highly specialized roles within digital transformation, cloud strategy, and cyber security. We pride ourselves on not just filling positions but on finding leaders who will drive lasting change and help you meet your business objectives.
• Cross-Industry Expertise: While we focus heavily on technology leadership, our experience spans across industries, allowing us to bring cross-industry insights and best practices to your leadership strategy.
Listed Jobs
- Company Name
- MPower Plus
- Job Title
- DEVSECOPS ENGINEER
- Job Description
-
REMOTE FROM POLAND/UK ONLY
Required Skills & Experience:
Proven experience with Google Cloud Platform (GCP) and Microsoft Azure.
Hands-on experience with Terraform and Kubernetes.
Strong understanding of CI/CD pipelines and experience with GitHub Actions.
Solid cybersecurity background with knowledge of best practices and security frameworks.
Experience with infrastructure as code and automation tools.
Familiarity with AI/ML techniques and their application in SaaS products.
Desired Qualifications:
Experience in a SaaS environment, particularly with products underpinned by AI and ML technologies.
Familiarity with other DevOps tools and practices.
Strong problem-solving abilities and proactive attitude.
Excellent communication skills to collaborate effectively with cross-functional teams.
- Company Name
- MPower Plus
- Job Title
- AI/ML ENGINEER
- Job Description
-
Key Responsibilities: •Develop, implement, and optimize AI/ML models with a focus on LLMs and generative AI. • Collaborate with software engineers to integrate AI components into production systems. • Design and maintain efficient machine learning pipelines for large-scale data processing. • Work with cloud platforms (AWS, Google Cloud) to deploy and manage AI/ML solutions. • Build and maintain RESTful APIs to enable AI services for various use cases. • Engage in data preprocessing, cleansing, and feature engineering to ensure high-quality inputs for AI models. • Conduct benchmarking and performance optimization to improve model accuracy and efficiency. • Contribute to the entire software lifecycle, including requirement gathering, design, implementation, testing, and deployment. • Stay updated with the latest AI/ML advancements and apply them to improve system performance and capabilities.
Required Skills & Experience:
• 3+ years of experience in AI/ML engineering and Gen AI – Building LLM from scratch.
• Strong expertise in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
• Experience working with LLMs and understanding of transformer-based architectures.
• Familiarity with vector databases and experience with embeddings (e.g., for text or product recommendations).
• Proven experience with cloud services (AWS, Google Cloud) for deploying machine learning models.
• Hands-on experience with data processing and massaging techniques for AI/ML workflows.
• Knowledge of CI/CD pipelines, version control systems (GitHub), and containerization (Docker, Kubernetes).
• Excellent problem-solving skills and ability to troubleshoot complex AI/ML issues with Deep learning, neural networks and optimizers for the finetuning