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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. In this role 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.

AI Evaluation Scientist Salary: £34,500 - £44,850 Location: Cambridge, Hybrid Contract: Permanent, Full Time, 35 hours per week Are you passionate about AI and data science, as well as ensuring fairness, transparency, and accuracy in AI-enhanced assessment? Are you excited about expanding language learning opportunities and contributing to the best of international practice? If so, we want to hear from you! We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. Our Applied AI team is looking for a talented AI evaluation specialist to join our expanding team of validation specialists and machine learning engineers. As an AI Evaluation Scientist , you will play a critical role in evaluating and improving our AI-enhanced capabilities. Your expertise in statistical analysis and AI evaluation will ensure that our next-generation assessment solutions meet the highest validity, fairness, and regulatory standards. This role is central to maintaining Cambridge's reputation as a global leader in AI-enhanced education and assessment. About The Role As part of our Applied AI team, you will be responsible for helping drive the evaluation of our AI-enhanced assessment technologies to ensure their accuracy, fairness, and explainability. You will work closely with validation specialists and machine learning engineers to implement robust statistical analyses and help develop innovative evaluation methods to help shape the future of AI-powered second language learning. Key responsibilities include: Conducting statistical evaluations to robustly assess the fairness, accuracy, and transparency of our AI-enhanced assessment technologies, ensuring they align with Cambridges educational assessment principles. Contributing to the development and design of validation frameworks and wider quality assurance processes to ensure AI models meet regulatory requirements and industry best practices. Identifying and applying cutting-edge AI evaluation methods, helping advance both our AI capabilities and the science of AI evaluation. Working with validation specialists and machine learning engineers to help develop next generation AI-driven educational technologies. Publishing findings in academic and industry contexts, presenting insights to both technical and non-technical stakeholders, and representing Cambridge as an expert in AI evaluation. About You We are looking for an analytical thinker with practical and theoretical knowledge of inferential statistics and AI evaluation methods who enjoys working as part of a diverse team of specialists. You will excel in this role if you have: A degree in a quantitative field (e.g., Statistics, Data Science, AI, Mathematics) or equivalent work experience, ideally with a focus on AI model evaluation. Strong theoretical and practical knowledge of inferential statistics and multivariate analysis. Practical experience of evaluating AI models using a range of methods, including methods relating to the domain of explainable AI. Proficiency in either Python or R for conducting complex statistical analyses (Python preferred). An ability and willingness to learn and apply new statistical approaches for addressing particular evaluation challenges. An ability to manage projects in a structured, deadline-driven environment, ensuring timely delivery of evaluation results. An ability to translate technical findings into actionable insights for cross-functional teams, influencing decision-making at senior levels. A strong commitment to ethical AI principles and educational fairness, aligned with Cambridges mission to expand learning opportunities for all. Desirable: Experience of evaluating AI-enhanced assessment and learning technologies. Experience of collaborating with ML engineers in the development and evaluation of AI models. Experience of assessment principles and evaluation methods. Experience of embedding standardized AI evaluation processes in an industry setting. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location . We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being Sunday 18th May 2025. You can expect to receive an update on your application and whether you have been shortlisted for interview within the following two weeks. We reserve the right to close this vacancy once we have received sufficient applications for the role. Therefore, if you are interested in this exciting opportunity, we encourage you to submit your application as early as possible. We are committed to an equitable recruitment process. As such, all applications must be submitted via our official online application form. Please refrain from sending your CV directly to our recruiters. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

AI Engineer / Data Scientist - Contract Position in London An exciting contract opportunity has arisen for a skilled AI Engineer / Data Scientist in the vibrant heart of London. We are seeking a dynamic individual who can harness the power of data and machine learning technologies to drive innovation and improve processes. Role Overview: • Location: London, United Kingdom • Type: Contract • Requires commuting to Dublin once a month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks: Proficiency with Databricks platform for big data processing and analytics. • Machine Learning: Strong background in developing and deploying machine learning algorithms and models. • Python: Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to cutting-edge projects in artificial intelligence and data science. If you are ready to take on this challenging role, we would love to hear from you. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales