5 of 5 Permanent Machine Learning Jobs in Reigate

through building and deploying models, to measuring impact using A/B testing. You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data … functional business. PhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics. Proven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in … engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/ More ❯

and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial … efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

across the platform, naming conventions across data products, championing and enforcing both. Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows Qualifications What we’d love you to bring: Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform. Develops the data function roadmap More ❯

data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies … batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams Advanced SQL skills and a More ❯