15 of 15 Machine Learning Jobs in Cheshire

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

Platform Owner, this role will be a senior technical leader responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI leadership and is responsible for managing and motivating a team of skilled IT professionals and directing … integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance ...

Lloyds Banking Group is seeking a Senior Machine Learning Engineer to build and maintain ML solutions in production for the Consumer data space. You will apply strong software engineering practices to develop scalable models and data pipelines, collaborating with data scientists and other ML engineers across projects. ...

data sources onto a single governed platform Using version control and DevOps practices to support reliable development and deployment Exploring practical uses of AI, machine learning and automation Investigating and resolving complex BI, data and reporting issues What we're looking for Strong Power BI experience Confident ...

problems. Desirable requirements Synthetic organic chemistry laboratory experience Experience within a process or manufacturing environment Familiarity with data science methodologies and AI/ML implementations in laboratory automation. Knowledge of GLS requirements for instrument maintenance Experience working with ALRs and HTE automated platforms Skills and capabilities Ability to challenge, innovate ...

adjustments and strategic initiatives. Price Optimisation & Advanced Analytics Explore and implement price optimisation approaches using advanced analytical methods and technologies. Leverage latest analytical tools, machine learning techniques, and data science methodologies to enhance pricing decision-making. Identify opportunities to improve pricing outcomes through data-driven experimentation and optimisation. ...

delivering measurable outcomes Standout experience: Travel, hospitality, property technology, ecommerce or fintech experience Holiday parks, short-term rentals or property management platforms AI/ML operationalisation, experimentation frameworks or feature engineering Experience with Fabric, Databricks, Snowflake or BigQuery Building managed services or owner-focused commercial products 33 days holiday (+ ...

data accuracy, governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

chat, conversational self-service, and fallout prevention, while shaping the model team structure for managing technology and concepts in this space, including AI/ML and advanced data analysis. To be successful in this role, you will need the following: Extensive experience in conversation design, with a strong track record ...

problems for clients and customers. You may w ork w ith technologies including Java, C++, C#, Python, SQL, JavaScript/TypeScript, containers, DevOps, cloud, machine learning, scripting and real-time systems. To be considered for this opportunity, you must be in your penultimate year of university. You must ...

improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring, control validation and approvals into AI/ML and agent delivery workflows; build agents and orchestrations in Python with secure engineering, CI/CD and production support; measure value through cycle-time, quality … Data Science, Information Systems or a related field, or equivalent relevant experience Proven experience in Cybersecurity engineering, security operations, automation, platform engineering, AI/ML engineering or a closely related field, including meaningful hands-on work securing or operating Generative AI or Agentic AI solutions Proven ability to build production ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

driven revenue, and use them to inform the roadmap. Requirements Experience: 5+ years of product management experience, including 2+ years specifically shaping AI/ML-powered products or features, with a strong background in ILM or financial technology Domain Knowledge: Deep understanding of AP processes AI/ML Fluency: Real … working knowledge of AI/ML technologies; comfortable making product trade-off calls on model behavior, confidence, and evaluation rather than relying on a vendor's claims AI Governance: Sound judgment on where AI should act autonomously and where it shouldn't, and experience designing controls that hold ...