About this role
Salary: £95,000 - 130,000 per year
Requirements: Proven experience in AI/ML Engineering in a professional setting.Hands-on experience developing and deploying AI solutions.Experience building data pipelines and working with structured and unstructured data.Experience with MLOps tools and best practices for model deployment, monitoring, and governance.Experience working in agile delivery environments.Strong analytical and problem-solving skills with attention to detail.Strong programming skills in Python, SQL, and/or similar languages.Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.Familiarity with Generative AI and/or machine learning frameworks such as Langchain is desirable.Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Experience with cloud platforms such as AWS, Azure, or GCP and their AI/ML services.Proficiency in data manipulation and analysis using SQL and big data technologies such as Spark and Hadoop.Experience with ETL, data pipelines, and automated workflows for moving and processing data.Adherence to data governance, security, and privacy standards, including metadata management, data quality, and lineage tracking.Knowledge of distributed computing techniques such as parallel processing, streaming, and batch workflow orchestration. Responsibilities: Deliver AI/ML engineering on client projects.Develop innovative solutions to help clients address complex data challenges, including modern analytics platforms.Work with clients to understand business needs and translate them into robust AI solutions.Coordinate with distributed delivery teams across our wider network to align delivery plans, technical outputs, and client expectations.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Develop and implement AI and machine learning models for prediction, classification, automation, and insight generation.Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.Monitor and optimise model performance, data processing, and storage for scalability and efficiency.Work in multi-disciplinary teams across a range of industries, subject matters, and locations.Manage deliverables and client stakeholder relationships while delivering solutions using agile methodologies.Stay up to date with the latest advancements and trends in AI, evaluating new technologies and approaches. Technologies: AIAWSAzureBig DataCloudETLGCPHadoopSupportMachine LearningMLOpsModel TrainingNetworkPyTorchPythonSQLSecuritySparkTensorFlow More:
We are Deloitte, a market-leading professional services firm based in London within our Technology & Transformation business. Our AI & Data team works with leading global companies, public bodies, and some of the worlds largest organisations to deliver advanced analytics, machine learning, and artificial intelligence solutions that drive growth and modernisation. We offer unparalleled training and development, world-class learning opportunities, flexible hybrid working, and a collaborative, supportive culture built on our shared values of leading the way, serving with integrity, taking care of each other, fostering inclusion, and collaborating for measurable impact.
last updated 36 week of 2026