1 to 25 of 82 Machine Learning Jobs in Cheshire

learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working … unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. ...

packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role … based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices Help raise engineering maturity across the department through ...

Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems. THE BENEFITS: Tiered clearance bonus Funded R&D projects and internal seed investment Clear technical growth … progression opportunities Supportive, collaborative team environment Hybrid/flexible working dependent on project needs THE SENIOR DATA SCIENCE AND MACHINE LEARNING RESEARCHER ROLE: As a Senior Data Science & Machine Learning Researcher, you will focus on research-led development, working across short exploratory tasks and longer-term ...

individual have the drive and experience to transfer knowledge Strong Modelling experience Must have Model Productionisation experience Have prior pricing knowledge or have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure … ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer or Pricing Optimisation Manager with a passion for innovation, optimisation and model productionisation. Location: UK Remote Salary: Up to £80,000 + excellent benefits Applicants MUST ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission … Virtual Agent platform in line with product strategy. · Ensure AI services maintain high standards of performance, reliability, and scalability. · Participate in internal ML community, influencing how we implement AI and computer vision technologies. · Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable … hypotheses, design rigorous methodologies, and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns ...

Senior AI/ML Engineer – Chester (2 days onsite a week) I'm working with a well‐established, values‐led organisation operating at scale across the travel and leisure sector. They are investing heavily in AI and data, and are now looking to hire a Senior AI/ML Engineer … solutions that deliver real commercial impact. This is a hands‐on senior engineering role with strong ownership across end‐to‐end AI/ML delivery, working closely with data science, product and engineering teams. The Role: Design, build and maintain scalable, end‐to‐end AI/ML pipelines using ...

Senior AI/ML Engineer – Chester (2 days onsite a week) I’m working with a well‐established, values‐led organisation operating at scale across the travel and leisure sector. They are investing heavily in AI and data, and are now looking to hire a Senior AI/ML Engineer … solutions that deliver real commercial impact. This is a hands‐on senior engineering role with strong ownership across end‐to‐end AI/ML delivery, working closely with data science, product and engineering teams. The Role: Design, build and maintain scalable, end‐to‐end AI/ML pipelines using ...

positional encoding Experience working with temporal or sequential data, particularly from sensors or user interactions, wearables etc Comfortable managing experiments, model versions, and reproducible ML workflows Experience deploying machine learning models using cloud infrastructure (AWS preferred) Strong Python skills and a practical, delivery-focused mindset Desirable … device or in constrained environments Familiarity with representation learning or self-supervised approaches Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured ...

planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine … grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering ...

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists … paced, high-impact environment. What You’ll Be Doing Operationalising machine learning models and ensuring they are production-ready Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models Contributing to churn and revenue prediction use cases Working on conversational AI, including ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

Scientists Must have Security Clearance Warrington If you have 4–5 years of experience in data roles and a passion for Generative AI, ChatGPT, machine learning, and Azure's modern data stack, we want to hear from you. What We're Hiring For We have multiple opportunities available … Factory, Synapse, Data Lakes, and Databricks, enabling scalable analytics, AI, and automation across critical UK sectors. Data Scientist You'll develop end-to-end ML and Generative AI solutions, including chat-based applications, RAG pipelines, and LLM-powered tools using Azure Machine Learning, Azure OpenAI, and vector databases. ...

Scientists Must have Security Clearance Warrington If you have 4–5 years of experience in data roles and a passion for Generative AI, ChatGPT, machine learning, and Azure’s modern data stack, we want to hear from you. What We’re Hiring For We have multiple opportunities available … Factory, Synapse, Data Lakes, and Databricks, enabling scalable analytics, AI, and automation across critical UK sectors. 🤖 Data Scientist You’ll develop end-to-end ML and Generative AI solutions, including chat-based applications, RAG pipelines, and LLM-powered tools using Azure Machine Learning, Azure OpenAI, and vector databases. ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists … paced, high-impact environment. What You'll Be Doing Operationalising machine learning models and ensuring they are production-ready Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models Contributing to churn and revenue prediction use cases Working on conversational AI, including ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

strengthen a values-driven engineering culture, and play a key role in shaping product direction and driving large-scale business impact. Tech Stack Cloud ML platforms, Python, Spark, SQL, CI/CD pipelines, MLflow, TensorFlow, PyTorch, Scikit-learn. What You’ll Do Build high-impact AI/ML systems that … deliver clear business outcomes. Leverage hands-on experience with modern ML frameworks and cloud technologies. Design, implement, and maintain reliable ML pipelines and production-ready architectures. Collaborate across teams to enable data-driven decision-making throughout the organization. Requirements Proven track record in designing and scaling ML architectures and pipelines. ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...