1 to 25 of 52 Machine Learning Jobs in Merseyside

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree in a numerate discipline, computer … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

support our platform’s growth. About The Team: You’ll join a small, tight-knit engineering team within our Data & AI (Collaboraite) business unit. The team comprises Software Engineers, Machine Learning Engineers, and Frontend Developers, all working together on a collaborative working platform with analytics job processing capabilities. This platform enables users to ingest, relate, analyse, and search … part of the onboarding process Flexible Working : We offer both hybrid and remote working models. Private Medical Inclusive Culture : Enjoy an inclusive culture and environment. Holiday : Generous holiday allowance. Learning : Access to continuous learning and development opportunities. Bonus Potential : Bonus potential based on performance and business-related factors. Discounts : Discounts on a wide range of products and services. More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

the finance industry or other domains where high-frequency data processing is critical. Familiarity with cloud platforms (AWS, Azure, GCP) and deploying KDB+ in a cloud environment. Knowledge of machine learning and AI integration with KDB+. Join our dynamic team and work in a fast-paced environment where innovation and creativity are valued. Be part of a company More ❯

computer science or related field. Experience with Google Cloud Platform/Data Stack, including BigQuery, Cloud Functions, Pub/Sub, IAM Management, Looker Data Studio. Familiarity with statistical/machine learning/AI concepts. Understanding of data pipeline/orchestration tools like dbt, dataform. Appreciation of GCP’s serverless technologies such as Cloud Run/Workflows. Understanding of More ❯

start-up focusses on healthcare AI and are looking for a Data Engineer to join their team. You will be joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Monitor, optimise and rebuild ETL/Delta Lake workflows in Databricks. Migrate legacy ingestion jobs to modern, cloud‐native patterns (Azure preferred, some AWS/… . Collaborate with scientists to understand study goals—e.g., young‐mental‐health surveys—and shape the data architecture behind them. Own slices of the backend and grow toward analytics, ML or architecture as you choose. About you 2‐3 years’ experience (or outstanding grad projects) in data engineering Solid Python or R plus SQL; comfortable with Spark/Databricks. STEM More ❯

years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should … SAS Certified Data Scientist The SAS Certified Data Scientist certification shows that the candidate is able to use SAS for data analysis. In order to progress to the AI & Machine Learning Professional or Advanced Analytics certification, one has to clear the Advanced Programming and Data Curation Professional exams. This test measures the understanding and expertise of the candidate … be well versed in big data technologies. Cost: $400 Validity: 2 years DASCA Senior Data Scientist (SDS) The Senior Data Scientist certificate recognizes individuals who show proficiency in modeling machine learning and data science. The Senior Data Scientist certification comes with criteria that candidates need to fulfill to obtain the certification. A master's degree in a related More ❯

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 (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with More ❯

importantly, usable. Your mastery will extend to data management, migration, strategy, change management, and policy and regulation. Your journey as a Data Scientist Graduate will start with an immersive learning program, focused on building a core set of business and consulting skills, which you will use working on exciting projects with our flagship clients. We will support you in … Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialise in a specific sector … field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau) Knowledgeable in statistical analysis, machine learning concepts, and data wrangling techniques Curious, analytical, and detail-oriented with a strong problem-solving mindset A strong communicator who can explain technical findings to both technical 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 ❯

range of projects to optimise the stock availability and demand forecasting accuracy Driving innovation with the forecasting engine with a focus on delivering stock optimisation Developing existing AI/ML tools including Google Vertex AI and Azure ML Building models to answer complex business questions and to proactively inform stock placement strategy and direction. Build, validate and monitor predictive models … subject with work experience delivering data science solutions. Experience in customer demand forecasting, including product, promotions and supply chain Experience of applying a range of forecasting, data science and machine learning techniques to deliver business value. Proficiency in SQL and R, Python, or a similar programming language Experience with the data science project lifecycle: developing, deploying and maintaining …/or supply chain forecasting would be advantageous Experience in customer demand forecasting, including product, promotions and supply chain Experience of applying a range of forecasting, data science and machine learning techniques to deliver business value. From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here. We know as More ❯

ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. … datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross skill in AI and contribute … to a culture of learning, excellence, and collaboration. Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Loyalty award scheme 24/7 access to EAP including Wisdom AI app Access to Bright Exchange Online marketplace Remote working with the option to work from our Central 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 ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

to applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

where you live). Employment Type: Full-time. 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). Desirable: Arabic language skills to support the platforms 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 ❯

where you live). Employment Type: Full-time. 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). Desirable: Arabic language skills to support the platforms 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 ❯

where you live). Employment Type: Full-time. 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). Desirable: Arabic language skills to support the platforms 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 ❯

meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self-development options. Networks, communities … Principal Data Science Consultant – Gen AI Specialist Chester, England, United Kingdom 1 day ago Integrated Water Manager Business Analyst Warrington, England, United Kingdom 3 weeks ago Principal Data Science & ML Engineering Consultant Chester, England, United Kingdom 2 weeks ago Principal Data Science Consultant - Financial Services Expertise Chester, England, United Kingdom 6 days ago Chester, England, United Kingdom 19 hours ago More ❯

Responsibilities Design and deliver data science solutions that drive business outcomes Lead the development of predictive and optimisation models using Python, Databricks, and GCP Enhance the businesses AI and ML capabilities to modernise the data platform Collaborate with stakeholders to understand their goals and ensure analytics work is aligned to practical business requirements Lead and take ownership of discrete workstreams … the long-term development of the data science function Requirements Experience in a data science leadership position Expert use of Python, PySpark, and PyTorch Strong experience with AI and ML best practice and development Databricks and GCP experience Strong business and commercial acumen Excellent stakeholder management My client have already began holding interviews for this role. So if you’re 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 ❯

crucial role in shaping these groundbreaking initiatives and pushing the boundaries of technology and design in real-world applications. RESPONSIBILITIES Develop AI Solutions: Design, implement, and test AI and machine learning models to solve complex business challenges. Collaborate on Projects: Work closely with cross-functional teams to integrate AI capabilities into our products and services. Research & Innovation: Stay … to the team. Data Analysis: Analyse large datasets to extract meaningful insights and improve our AI models. Technical Documentation: Prepare clear documentation for developed AI systems and processes. Continuous Learning: Engage in ongoing training to enhance your skills and keep pace with industry trends. REQUIREMENTS Bachelor's degree, 2:1 or above, with 1-2 years of experience, preferably … in a related field. Basic understanding of programming languages such as Python, Java, or C++. Knowledge of AI and machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. Solid foundational knowledge of algorithms, data structures, and machine learning principles. Strong analytical and critical thinking skills. Ability to work effectively in a team environment and More ❯

front-end engineering skills (React, Angular, or Flutter; Node.js or Python for back-end). - Experience working with RESTful APIs, mock servers, or AI microservices. - Familiarity with AI/ML integration patterns (e.g., inference APIs, chatbot SDKs, GenAI plugins). - Strong grasp of data visualisation techniques (e.g., D3.js, Chart.js, or Power BI embedded). - Agile mindset with ability to iterate More ❯

a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver a … disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation. Job reference: SAE-028736 Faculty/Organisational Unit: Science and Engineering Employment type: Fixed Term … include: The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant More ❯