The ideal candidate will possess a strong academic background in a STEM discipline, complemented by proven experience in delivering data science, machine learning, or AI solutions within a commercial environment. Proficiency in Python, including libraries such as Pandas, NumPy, and SciPy, is essential. A solid understanding of statistics, probability, and data analysis is required to interpret complex datasets effectively.

Experience with large language models (LLMs), including retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and agent-based workflows, is highly desirable. Familiarity with model deployment and MLOps tools such as Databricks and MLflow, along with version control practices like Git, will be advantageous. Strong communication skills are necessary to articulate technical concepts to non-technical stakeholders and collaborate effectively across multidisciplinary teams.

Responsibilities

• Build and deploy sophisticated data science, machine learning, and simulation models to address complex business challenges.
• Apply advanced analytical techniques including optimization, forecasting, statistical modeling, and artificial intelligence.
• Develop innovative LLM-based solutions, such as RAG pipelines, fine-tuning approaches, and agent-based workflows.
• Handle large and complex datasets, both structured and unstructured, ensuring data quality and integrity.
• Write clean, scalable, and efficient Python code suitable for both development and production environments.
• Utilize tools like Databricks, MLflow, and modern AI platforms to manage the full lifecycle of models, from development to deployment.
• Translate technical insights into clear, commercially relevant recommendations for stakeholders.
• Engage with clients and internal teams to define problems, shape solutions, and ensure project alignment with business goals.
• Collaborate with cross-functional teams including data engineers, strategists, and product managers to deliver impactful solutions.

At the Manager level, additional responsibilities include leading projects end-to-end, managing and mentoring junior team members, maintaining stakeholder relationships, and contributing to business development initiatives.

Benefits

Joining our team offers numerous benefits, including the opportunity to work on high-impact projects that influence critical business decisions. You will gain exposure to cutting-edge AI technologies and innovative use cases, particularly in large language models and decision modeling. The role provides variety across multiple industries and problem domains, ensuring a stimulating work environment.

We prioritize professional development, offering clear pathways for progression from Assistant Manager to Manager and beyond. Our hybrid working model provides flexibility to support work-life balance. You will be part of a collaborative, high-performing team environment that values continuous learning, innovation, and excellence.

Equal Opportunity

Yolk Recruitment Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from candidates of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We believe that diverse teams foster innovation and creativity, and we are dedicated to ensuring equal access to employment opportunities for everyone.