At a Glance
- Tasks: Join a creative team to develop AI solutions for HR and payroll systems.
- Company: Zellis is a leading provider of HR and Payroll software, serving top UK clients.
- Benefits: Enjoy competitive salary, 25 days leave, private medical insurance, and flexible perks.
- Why this job: Be part of a progressive culture that values innovation and personal growth.
- Qualifications: Strong programming skills in Python or JavaScript; experience with AI and data analytics.
- Other info: Opportunity to work on cutting-edge AI technologies in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
About the role
As an AI Scientist at Zellis you\’ll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You\’ll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis\’ client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions.
You\’ll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You\’ll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact.
At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback.
Your key responsibilities will include:
AI Research and Model Development
- Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle.
- Designing and optimising AI that enhances automation and decision-making.
- Ensuring AI models are scalable and efficient for real-world enterprise deployment.
- Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques.
- Evaluating AI model performance using statistical and business-driven metrics.
- Working on natural language to SQL AI transformations to extract data value.
- Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code).
- Speech to text.
- Developing explainable AI approaches for transparency and trust.
AI Integration into HR, Workforce Management, and Payroll Systems
- Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules.
- Automating repetitive HR tasks like payroll processing and compliance checks.
- Implementing AI-driven workforce forecasting and scheduling.
- Developing AI-powered insights for HR leaders to improve talent management.
- Enhancing employee self-service with AI bots, assistants, and workspaces.
AI Ethics, Privacy, and Security
- Designing AI systems that are safe, unbiased, and compliant with GDPR.
- Working with Legal teams to assess and mitigate AI-related risks.
- Ensuring AI models do not reinforce biases in HR processes.
- Implementing privacy-preserving techniques in AI solutions.
Collaboration and Cross-Functional Work
- Working with Product Managers, Engineers, and business stakeholders to define AI goals.
- Communicating AI concepts in a business-friendly manner.
- Leading AI experimentation initiatives and contributing to internal strategy discussions.
- Engaging with customers to understand AI needs and create practical solutions.
- Continuous learning and innovation.
- Staying up-to-date with AI and ML research relevant to HR and workforce management.
- Exploring new techniques in deep learning and generative AI.
- Publishing research findings in internal reports and industry conferences.
- Prototype and testing AI models before full-scale deployment.
Skills & experience
Technical Expertise
- Understanding of transformer architectures, and large-scale language models.
- Experience with data engineering, model optimisation, and distributed computing.
- Strong programming skills in JavaScript, or Python / other AI-related languages.
- Strong SQL and data analytics skills.
- Familiarity with cloud platforms (AWS and Azure) for AI deployment.
- Knowledge of MLOps principles for scaling AI models.
- Understanding of knowledge graphs, semantic search, and vector databases.
AI Ethics and Responsible AI
- Awareness of AI ethics, bias mitigation, and fairness in models.
- Understanding of GDPR and compliance frameworks for AI in HR applications.
- Ability to design fair and interpretable AI systems.
Problem Solving and Critical Thinking
- Strong analytical skills to improve AI model performance.
- Ability to develop innovative AI-driven solutions for business challenges.
Business Acumen and HR Domain Knowledge
- Understanding of HR, payroll, and workforce management processes would be advantageous.
- Ability to translate AI research into commercially viable products.
- Experience working with HR datasets and organisational analytics.
Collaboration and Communication
- Ability to explain AI concepts to non-technical stakeholders.
- Experience working in cross-functional teams.
- Strong documentation skills for AI research and best practices.
- Enthusiasm for mentoring and knowledge sharing.
Adaptability and Continuous Learning
- Ability to work in a fast-paced, entrepreneurial setting.
- Willingness to experiment with emerging AI technologies.
- Commitment to ongoing learning in AI and HR tech.
- Strategic and product-focused thinking.
- Vision for AI-driven business expansion at Zellis.
- Focus on delivering measurable AI value to HR professionals.
- Ability to balance long-term AI research with short-term business impact.
- Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills.
Benefits & culture
At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services.
Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We\’re passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from of our 3,000+ colleagues, we live and breathe every day:
- Unstoppable together.
- Always learning.
- Make it count.
- Think scale.
Our people are critical to our ongoing success; we\’re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you\’ll have the chance to stretch and challenge yourself in an environment that\’s varied, flexible and hugely supportive.
We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you\’ll receive:
- A competitive base salary.
- 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday.
- Private medical insurance.
- Life assurance 4x salary.
- Enhanced pension scheme with company contributions up to 8.5%.
- A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
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AI Scientist employer: Zellis
Contact Detail:
Zellis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist
✨Tip Number 1
Familiarise yourself with the latest AI technologies and trends, especially those relevant to HR and payroll systems. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and HR fields. Attend industry conferences or webinars where you can meet potential colleagues or mentors who can provide insights into Zellis and its culture.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled complex AI challenges in the past. Be ready to discuss your thought process and the impact of your solutions on business outcomes.
✨Tip Number 4
Demonstrate your understanding of AI ethics and compliance, particularly in relation to GDPR. Being able to articulate how you would ensure ethical AI practices will set you apart as a candidate who aligns with Zellis' values.
We think you need these skills to ace AI Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI Scientist role at Zellis. Focus on your expertise in machine learning, programming languages like Python or JavaScript, and any experience with HR-related projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform HR processes. Mention specific projects or experiences that demonstrate your ability to develop and implement AI solutions, and explain why you want to work at Zellis.
Showcase Your Technical Skills: Be sure to include any technical skills that are particularly relevant to the job description, such as experience with transformer architectures, data engineering, and cloud platforms like AWS or Azure. Use concrete examples to illustrate your proficiency.
Highlight Collaboration Experience: Zellis values teamwork, so emphasise any experience you have working in cross-functional teams. Discuss how you've communicated complex AI concepts to non-technical stakeholders and contributed to collaborative projects.
How to prepare for a job interview at Zellis
✨Showcase Your Technical Expertise
Be prepared to discuss your understanding of transformer architectures and large-scale language models. Highlight any experience you have with data engineering, model optimisation, and distributed computing, as these are crucial for the role.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex AI challenges in the past. Discuss specific projects where you developed innovative AI-driven solutions, showcasing your analytical skills and ability to improve model performance.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining AI concepts in a business-friendly manner. This is essential, as you'll need to collaborate with Product Managers and other non-technical team members to define AI goals and strategies.
✨Emphasise Continuous Learning and Adaptability
Zellis values a commitment to ongoing learning in AI and HR tech. Be ready to discuss how you stay updated with the latest research and technologies, and share any experiences where you've adapted to new tools or methodologies quickly.