12 of 12 Machine Learning Jobs in Cheshire

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in 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 ❯

months rolling : Hybrid - Weekly An industry-leading technology company is looking for an experienced Data Scientist to play a pivotal role in developing advanced data-driven solutions, leveraging machine learning techniques to support business objectives and customer requirements. As a Data Scientist, you will bring expertise in … developing and implementing machine learning models, and bridging the gap between data science and data engineering where necessary. As a Data Scientist, you will be experienced with: ML techniques - linear regression, XGBoost, ensemble methods Python ETL pipelines AWS, Azure, or GCP SHAP or LIME tool familiarity Key information: Up to £450 per day Outside IR35 6 months (rolling More ❯

and technology, as well as job-specific technical skills. The successful candidate will be based in Knutsford or Northampton. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the … and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

supported to develop important skills for a Data Scientist such as connecting to different data sources and manipulating different data types into useful formats, analysing and visualising data, utilising machine learning and artificial intelligence and statistical methods to create insight from data. Driving value from our data is key to us delivering services and to improving our performance. 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 ❯

holidays (option to buy/sell after 2 years) Bonus scheme recognising high performance Life assurance and employer pension contributions Choice of tech setup to suit your working style Learning & development budget + 1:1 coaching Cycle-to-work scheme & free parking Hybrid working model with flexible start/finish times £100 annual home office allowance DATA SCIENTIST ROLE … build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions … data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical stakeholders Previous experience in monitoring More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on adoption. Candidate Profile: Degree in IT, Computer Science, or a related discipline. Proven experience in the application of AI within a business setting. Strong knowledge of AI/ML technologies, tools, and cloud platforms. Ability to translate technical solutions into real business value. Innovative, strategic thinker with hands-on implementation skills. Why Join Us? Opportunity to build AI capabilities More ❯

in the middle of it. You ll work on modern .NET and Azure projects that make an impact, like integrations with Amazon and Deliveroo, developing microservices, and exploring how ML and AI can transform stock and inventory systems. This isn t a role where you re hidden in the corner cranking out tickets. You ll be involved in decision-making More ❯

in the middle of it. You’ll work on modern .NET and Azure projects that make an impact, like integrations with Amazon and Deliveroo, developing microservices, and exploring how ML and AI can transform stock and inventory systems. This isn’t a role where you’re hidden in the corner cranking out tickets. You’ll be involved in decision-making More ❯