Senior Machine Learning Engineer

Overview

Design, develop, deploy, and optimise ML models with MLOps in production.

Key Responsibilities

• ml modeling
• data pipelines
• mlops
• cloud deployment
• model optimisation
• team integration

Tasks

You will play a key role in building robust ML pipelines, implementing MLOps best practices, and working closely with data scientists and engineers to deploy AI-driven solutions. We are seeking a Senior Machine Learning Engineer to join our growing Data Science team, reporting to the Head of Data Science. This role will be responsible for designing, developing, deploying, and optimising machine learning models in production environments, ensuring scalability, reliability, and performance. -Develop and deploy high-performance machine learning models, ensuring seamless integration into business workflows -Design and develop efficient data pipelines, transforming raw data into high-quality features for ML models -Implement MLOps best practices, including CI/CD pipelines, monitoring, logging, and automated retraining of models -To drive tooling, frameworks, policies, best practices, and feedback loops across “workforce”, Data Science, Product, and “Head of” across Thames -Stay updated with advancements in AI, ML, and deep learning techniques, actively contributing to innovation and technology improvements within the business -Work closely and ongoing collaboration with Data and Software Engineering, Data Science, Architecture, Data Management and BI teams to ensure the delivery integration of ML models into production systems and drive AI adoption across the organisation -Optimise ML models for performance, scalability, and latency, ensuring they meet real-world operational requirements -Deploy and manage machine learning models on cloud-based AI/ML platforms such as Azure ML, AWS SageMaker, or Databricks

Requirements

• sql
• spark
• azure ml
• mlops
• phd
• collaboration

What You Bring

Travel to other site will be required -Scalable ML Systems – Experience optimising models for low-latency, high-throughput production applications -Strong skills in SQL, Spark, and ETL workflows to process large-scale data efficiently -Cloud AI/ML Certifications – Certifications in Azure ML, AWS AI, or Google Cloud AI/ML solutions -Experience working with sensor and IoT data for real-time predictive analytics -Big Data & Cloud ML – Hands-on experience working with cloud-based AI/ML services such as Azure ML, Databricks, or AWS SageMaker -Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field -Previous experience in machine learning engineering, model deployment, and optimisation -Hands-on experience with cloud platforms (Azure, AWS, GCP) for AI/ML workloads -Experience building AI models to automate decision-making and operational workflows. -Experience in the Water/Waste Utility Sector – Understanding of key challenges in infrastructure monitoring, resource optimisation, and sustainability -Confidence and credibility to engage in regulatory events (e.g. OFWAT) and represent Thames Water in external discussions with vendors and partners -Cross-Functional Collaboration – Proven ability to work with data scientists, engineers, and business teams to translate AI solutions into operational impact -Strong experience in MLOps & AI Deployment – Implementing automated model retraining, monitoring, and CI/CD pipelines

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Benefits

Base Location: Hybrid – Clear Water Court, Reading -Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance -Performance-related pay plan directly linked to company performance measures and targets -Competitive salary from £90,000 to £100,000 per annum -Private Medical Health Care -Generous Pension Scheme through AON -Car Allowance -Annual Leave - 26 days holiday per year increasing to 30 with the length of service (plus bank holidays)

About Thames Water

-Delivering clean water and wastewater services across London and the Thames Valley. -Operates a vast network of infrastructure to meet the needs of its customers. -Focusing on sustainable water solutions and addressing climate change challenges. -Key player in major infrastructure projects, including the Thames Tideway Tunnel. -Involved in energy production through renewable initiatives like hydropower. -Committed to improving water quality, reliability, and customer service.

Sector Specialisms