1 to 25 of 28 Machine Learning Jobs in Cheshire

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … 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. ...

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 ...

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. ...

either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI/ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering, and production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/ ...

cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities ...

Hireshire Hireshire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We're now expanding into the AI/ML and Cloud Engineering space and are looking for curious, driven, and analytical minds. Role Overview As a DevOps Engineering Intern at Hireshire, you will collaborate ...

management. Familiarity with third-party/vendor risk management platforms and frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement ...

across the UK industry and the public sector. Role You will work across the Hartree Centre’s project portfolio, focusing on data analysis and machine learning. You will regularly interact with other technical teams, including High Performance Computing, Artificial Intelligence and Software Engineering. Our work involves a range ...

strong engineering practices. • Demonstrable experience designing and implementing data governance and data quality frameworks with measurable business impact. • Practical familiarity with AI/ML: identifying valuable use cases, assessing data readiness, working with specialists and ensuring responsible deployment and monitoring. • Excellent communication skills, able to translate technical concepts ...

plus) Bonus points for Knowledge of asynchronous messaging patterns Experience with Azure Data Lake, Data Factory, and Logic Apps Exposure to AI, machine learning, or data engineering CI/CD experience with Azure DevOps Why Youll Love Working There... Youll be part of a collaborative and forward-thinking ...

CQRS and MediatR Experience working within Agile/Scrum teams A passion for quality, maintainability and continuous improvement Desirable (but not essential) AI/Machine Learning exposure Azure Infrastructure as Code Data engineering or Databricks experience Power Platform/Power Apps Why This Role Is Different Greenfield rebuilds ...

/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. ...

Doing As a Cloud Engineer at GSK, you could get involved with: Developing and maintaining software and infrastructure for web applications. Integrating AI/ML components with frontend, backend, data, and compute infrastructure. Ensuring high-quality software delivery through automated testing, documentation, and adherence to best practices. Monitoring and improving ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

Proven track record building distributed, secure, and scalable cloud/AI services (experience with major cloud providers preferred). Solid background in AI/ML technologies, ideally with experience integrating LLMs or advanced AI models into production orchestration layers. Strong knowledge of public API design, service lifecycle management, and developer ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

others optimize labour planning, scheduling, budgeting, time and attendance, task execution, and fresh operations through advanced forecasting, AI/ML optimization, and operational best practice. Retailers rely on Logile to drive productivity, improve colleague engagement, reduce costs, and deliver better customer experiences. Role Overview We are seeking a Solution Consultant ...

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced AI/ML Developer seeking new and exciting opportunities? While we may not have an immediate vacancy, we're always on the lookout for talented individuals to join our Talent Pool. … uniting science, technology, and talent to get ahead of disease together. What We're Looking For We want to connect with AI/ML Developers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: Experience conducting user research for software ...

direct impact on the business, working closely with the founders and leadership team. What You'll Do: Design, build, and deploy AI/ML models powering the core platform. Create scalable AI infrastructure, data pipelines, and deployment workflows. Collaborate with product and engineering to turn business problems into AI solutions. … Experiment with the latest AI techniques to innovate and deliver real-world impact. Mentor future AI/ML hires as the team grows. What We're Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such ...

Spatial AI & ML Data Scientist (ArcGIS, Python) 10 Months (part-time) Remote £400 to £500 a day (Outside IR35) Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills 5+ years in AI/ML model development and predictive analytics ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...