1 to 25 of 71 Machine Learning Jobs in Cheshire

design, development and delivery of our most critical machine learning and AI solutions ️ Shape the strategic roadmap for scalable, ethical and explainable AI initiatives ️ Develop production-grade ML systems with robust lifecycle management and monitoring ️ Champion best practices in MLOps, CI/CD, testing and model governance ️ Guide technical decision-making and project design across the data science … junior team members, supporting both technical and professional growth ️ Contribute to a culture of innovation, learning and experimentation What We’re Looking For: Extensive experience designing and deploying ML and AI solutions in production Proficiency in Python (e.g. Scikit-learn, TensorFlow, PyTorch) and SQL Expertise in statistical modelling and advanced machine learning (e.g. transformers, reinforcement learning … with MLOps tooling and scalable cloud platforms Nice To Have: Experience setting or influencing data science strategy in a growing organisation Familiarity with AWS SageMaker or similar cloud-based ML tools Published work, open-source contributions or community involvement MSc or PhD in a quantitative field (e.g. statistics, computer science, mathematics) What We Can Offer You: Annual bonus scheme – up More ❯

Ofcom, during policy development processes and industry engagement activities. The purpose and scope of the role We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The successful candidate will play a … with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance on AI/ML technologies to policy, supervision and enforcement teams. Advise on the technical feasibility and risks of proposed regulatory interventions. Translate complex AI concepts into actionable recommendations for senior leaders, policy experts … and external stakeholders. AI/ML Research Independently lead AI/ML research projects—ranging from literature reviews of publishable standard to experimental studies — on new capabilities, system performance, safety, and effectiveness, often in collaboration with multidisciplinary internal teams (e.g., lawyers, economists, data scientists). Explore novel and emerging AI/ML techniques that may impact online safety, such as More ❯

Accountabilities: Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL). Evaluate agent performance in the … such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI. Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or … such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI. Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or More ❯

agreed terms. Stay abreast of the latest industry technology trends and technologies, to evaluate and adopt new approaches to improving deliver outcomes and to foster a culture of continuous learning, technical excellence and growth. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/… UK Data Strategy. Priorities within CDAO (Chief Data & Analytics Office) are Instantiating a modern, controlled and secure BUK data foundation on Group Enterprise Data Platform providing cloud data warehousing, machine learning analytics, predictive servicing and data led commerce capabilities. Instantiate next generation data capabilities for BUK - cloud data warehousing and virtualisation, control capabilities, PII pipelines, access control, and 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 ❯

are constantly innovating in the ways we are automating and accelerating the delivery of products and packages which includes building custom hardware and applying robotics, mobility, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems. As an Senior Automation Engineer, you will be responsible for driving world class manufacturing automation solutions … an automation engineer looking to transition into a highly strategic, globally significant role. BASIC QUALIFICATIONS - Engineering degree in mechanical, electrical, industrial, robotics, mechatronics or equivalent. - Background in Computer Vision, Machine Learning and Robotics - Experience with building and deploying AI systems in manufacturing automation - Experience developing integration interfaces for industrial robot manipulators - Hands-on expertise in robotics technologies, from … evaluation metrics - Excellent written and oral communication skills PREFERRED QUALIFICATIONS - Competence with computational packages for simulation and optimization - Experience with programming languages - Industrial controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge More ❯

15.07.2025 col-wide Job Description: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift … opportunities, risks and strategies in accessible terms, particularly in the financial services context Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML in financial services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelor’s or Master’s degree in Data … LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure More ❯

Social network you want to login/join with: Data Scientist - (Senior AI/ML Engineer), Warrington, Cheshire Job Details: Location: Manchester – Hybrid (3 days in the office/Home working) Salary: £75,000 - £100,000 (dependent on experience) Client: [Information not provided] Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job … that adapt in real time. With ambitious growth plans, this is an excellent opportunity to make a significant impact. We’re seeking a Data Scientist/Senior AI/ML Engineer with a solid data science foundation, a strong academic background (MSc/PhD preferred), and a proven track record of deploying real-world AI systems from research to production. … engineers. Collaborate with cross-functional teams to align AI capabilities with real-world applications. Requirements: Mandatory: Must be eligible for UK Government Security Clearance 4+ years in AI/ML engineering or data science roles, preferably in high-growth or research environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc More ❯

col-wide Job Description: Senior Data Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base … Key Responsibilities: Design and deploy time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting libraries using Python Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine … and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms) Proficiency in writing production-level Python code Familiarity with CI/CD practices, testing, and model validation Confident working across teams and taking ownership More ❯

UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues alike. About the Principal Data … initiatives, with clear business impact and measurable outcomes Demonstrate system-level thinking, considering architectural choices, data dependencies and integration across the wider data platform Develop and maintain production-grade ML systems including retraining strategies, model lifecycle management, monitoring and alerting Act as a trusted technical authority, reviewing and challenging project design, methodology, and outputs Drive adoption of CI/CD … across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice to have: Experience in setting or influencing data science strategy in a growing organisation Familiarity with AWS SageMaker and modern cloud-based ML workflows History More ❯

FIND | Creating Futures Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

demands technical depth, commercial acumen, and leadership excellence to scale solutions across Europe. Key Responsibilities: Define and evangelise the product vision for Data Solutions, including: Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation. Salesforce Ecosystem: Unified CRM, billing, and compliance workflows. Data Products: Monetisable APIs, analytics suites, and third-party data partnerships. Align roadmaps with … lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases such as dynamic pricing and desirability scoring, ensuring ethical, bias-free automation. Cross-Functional Leadership Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with … events as a thought leader in data innovation. Skills, Knowledge, and Experience: 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces). Proven track record scaling data solutions from MVP to enterprise adoption. Deep technical expertise in: Data Platforms: Cloud-native architectures (AWS/Azure), data More ❯

Location: chester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

our businesses performance in a 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. In return we offer an … non-technical audiences Technical Skills & Experience Preferably educated to degree level in a relevant discipline or with equivalent relevant practical experience Demonstrable working knowledge of advanced analytic techniques (Statistics, Machine Learning, Deep Learning) and a demonstrable ability to evaluate and select the right approach for the nature of the problem to … be solved Experience collecting, parsing, 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/SQL This role may not be More ❯

learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities suited for a dynamic consultancy environment. Experience … store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Researching and integrating the latest cloud-based technologies and frameworks to drive innovation. Opportunities for learning, cross-skilling in AI, and More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead) Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead): Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

and operations research methodologies. Experience with optimization tools and frameworks (Pyomo, GAMS, Gurobi, etc.). Experience with discrete-event based simulation. Developing and/or applying data modeling and machine learning methodologies. Experience with statistical and mathematical modeling environments (R, Python, MATLAB, etc.). Experience with programming languages such as Python, Java, C#, C++. A working knowledge of More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯