Your Trusted Partner in AI & ML Talent Acquisition

Kadence Talent is a leading AI & Machine Learning recruitment specialist, delivering expertise in two key markets. In Software Engineering, we excel at finding and placing top-level technology professionals. Leveraging our extensive industry knowledge and global talent network, we ensure your tech team is equipped with exceptional resources to optimise your software engineering capabilities.

In the dynamic domain of Artificial Intelligence and Machine Learning, we specialise in sourcing skilled individuals for disciplines such as Data Engineering & Visualization, Data Science & Artificial Intelligence, Product, Digital & Risk Analytics, Computer Vision, and Bioinformatics. With a deep understanding of these cutting-edge fields, we connect you with the visionary talent necessary to drive innovation and propel your organization’s success in the AI and ML landscape.

Kadence Talent specialises in a few selected industries, helping you unlock the power of exceptional talent in software engineering and AI/ML.

We believe people have the greatest impact on companies’ visions and growth, I love that I get to help people find their next role.


AI & ML are transforming healthcare by enabling advanced diagnostic systems, predicting patient outcomes, and personalising treatment plans.

These technologies can analyse medical images for the early detection of diseases, automate medical coding and documentation, and provide virtual assistants for patient engagement. By harnessing the power of AI & ML, healthcare professionals can make more accurate diagnoses, improve patient care, and enhance overall healthcare delivery.

EV & Robotics

AI & ML play a crucial role in the development of autonomous vehicles and robotics. Computer vision and reinforcement learning algorithms enable vehicles to perceive and navigate their surroundings, while predictive maintenance using AI helps optimise the performance and longevity of EV components.

Robotics applications benefit from AI-powered automation, allowing for efficient warehouse operations and logistics. With AI & ML, the EV and robotics industries can achieve advancements in safety, efficiency, and automation.

Banking & Finance

In the finance industry, AI & ML algorithms are utilised for fraud detection, credit risk assessment, and customer support. These technologies can analyse vast amounts of data to identify fraudulent activities, provide accurate credit scoring for loan approvals, and offer personalised financial advice through chatbots and virtual assistants.

Additionally, AI-driven algorithms optimise trading strategies, portfolio management, and sentiment analysis of financial data. By leveraging AI & ML, the finance industry can enhance security, streamline operations, and improve customer experiences.

Pharma & Biotech

AI & ML are revolutionising the pharmaceutical and biotech sectors by accelerating drug discovery, enabling precision medicine, and optimising clinical trials. AI models can analyse vast genomic datasets to identify potential drug targets and predict molecular properties.

These technologies also facilitate personalised treatment plans based on patient genomics and streamline the clinical trial process by optimising participant recruitment and safety monitoring. With AI & ML, the pharma and biotech industries can drive innovation, improve patient outcomes, and expedite the development of life-saving therapies.

Retail & eCommerce

AI & ML have significant implications for the retail, ecommerce, and mar-tech industries. Recommendation systems powered by AI algorithms offer personalised product suggestions, improving customer engagement and sales. Demand forecasting using AI helps optimise inventory management and supply chain operations, reducing costs and improving customer satisfaction.

Additionally, sentiment analysis of customer reviews and social media data provides valuable insights for marketing strategies and brand reputation management. With AI & ML, retailers can enhance customer experiences, optimise operations, and drive business growth.

Defence & Aviation

AI & ML are transforming the defence and aviation industries by enabling advanced systems for surveillance, threat detection, and decision-making. These technologies can analyse vast amounts of data from sensors and satellites to detect and track potential threats in real time.

AI-powered predictive maintenance can optimise the performance and reliability of aircraft and equipment, ensuring optimal operational readiness. Additionally, autonomous drones and robotics equipped with AI capabilities enhance intelligence gathering and enable remote operations. By harnessing AI & ML, the defence and aviation sectors can enhance situational awareness, improve operational efficiency, and ensure the safety of personnel.

Blockchain & Crypto

In the blockchain and crypto industry, AI & ML technologies are utilised for various purposes such as fraud detection, transaction monitoring, and market analysis. AI algorithms can analyse blockchain data to identify suspicious transactions and patterns, mitigating fraud and enhancing security.

ML models can also provide predictive insights for crypto market trends and asset valuation, aiding investors in making informed decisions. Furthermore, AI-driven smart contract automation can streamline business processes and enhance the efficiency of blockchain applications. By combining AI & ML with blockchain technology, the industry can achieve increased transparency, security, and efficiency.

Cyber Security & SaaS

AI & ML are crucial in the realm of cyber security and Software-as-a-Service (SaaS) platforms. These technologies play a vital role in detecting and mitigating cyber threats in real time. AI algorithms can analyse network traffic patterns and identify anomalies, helping prevent and respond to cyber-attacks.

ML models can also be used to detect and predict potential vulnerabilities in software systems, enabling proactive security measures. Additionally, AI-powered SaaS platforms can provide advanced threat intelligence, data protection, and user behaviour analytics to enhance overall security. By leveraging AI & ML, the cyber security and SaaS industries can strengthen defence against evolving threats, protect sensitive data, and deliver robust security solutions to businesses and individuals.