9 of 9 Machine Learning Jobs in Warrington

YOUR ROLE Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python. YOUR PROFILE Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) Familiarity with model deployment and monitoring in cloud environments … AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skill : Experience with RESTful APIs and integrating backend services ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a More ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills and Experience Data More ❯

specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest building societies in the UK and we share a mutual goal across our branches and our More ❯

scoring, price and resource optimisation. Collaborate with the Data & Reporting team to integrate AI-driven insights into operational workflows and decision-making tools. Evaluate and recommend new AI/ML technologies and approaches to enhance our predictive capabilities and drive competitive advantage. Define, develop, and maintain a comprehensive suite of key performance indicators (KPIs) and metrics across critical business functions More ❯

Experience with hardware/software interfaces and communication protocols. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Preferred (but not required) Exposure to machine learning frameworks or edge AI platforms. Experience with GPU/accelerator programming or optimization for embedded systems. Familiarity with version control and CI/CD pipelines. More ❯

data automation. Collaborate with stakeholders to deliver data-driven solutions. Required Skills: Snowflake ANSI-SQL Dimensional Data Modeling Python Experience with Gitlab Bonus Points: Knowledge of data science and machine learning Experience in the finance industry Familiarity with Power BI Knowledge of SQL Server or Oracle If you're ready to take your skills to the next level More ❯

The Global Contact Centre Industry Transformation The global contact centre industry is transforming rapidly! Technologies like AI and ML are becoming the ‘go-to solutions for creating future-ready business solutions. Gone are the days when customers had to navigate an endless maze of “press 1 for this, press 2 for that” and sit in call queues for two hours More ❯

Proven record managing teams of 5+ PMs. Strong background building products for B2B enterprise customers (technical end-users such as developers, engineers, or designers). Exposure to AI/ML productisation — embedding AI into product experiences or driving AI-led features. Commercial instincts: pricing, packaging, customer segmentation. People-first leader who balances performance with culture. Ability to partner with engineering More ❯

AI Developer/Medical Imaging Specialist to work on cutting-edge agentic systems for diagnostics and clinical automation. You'll be part of a world-class team of PhDs, ML engineers, and imaging specialists building the future of healthcare AI. 🔬 What You'll Be Working On Designing and training deep learning models on 3D medical imaging data (CBCT, MRI … MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation, 3D data handling, and deep learning architectures Bonus: experience in regulated environments (e.g. ISO 13485, FDA) ✅ What’s On Offer High-impact work shaping the future of AI in healthcare Collaborate with exceptional talent in More ❯