26 to 50 of 156 Machine Learning Jobs in the North West

Based in Manchester, this permanent full-time role plays a central part in expanding the use of advanced analytics, machine learning and AI across Manchester City's First Team Performance environment. You will help turn complex data into practical insight, building tools and models that support player availability … practical support for practitioners and to continually improve how we understand and apply performance information.The RoleThis role sits at the intersection of performance science, machine learning and practical football decision making. You will help shape how the First Team uses data to better understand player health, availability, physical ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AICollaborate with cloud vendors to integrate Responsible AI principles and standards into ...

/ML ENGINEER Salary up to £60k Hybrid working - 2 days on-site in Cheshire Opportunity to join a growing, dedicated AI engineering function ABOUT THE CLIENT We're supporting a well-established UK organisation that is making a significant investment in Artificial Intelligence and Machine Learning. Rather than … Generative AI, Agentic AI and Machine Learning projects Strong focus on technical development and emerging technologies THE ROLE As an AI/ML Engineer, you'll design and build production-ready AI solutions that deliver measurable value across a large-scale organisation. You'll work across Generative ...

driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality … fundamentally enhance how software is designed, built, tested, and deployedHands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies ...

with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. ...

AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors.Reporting to the Data Intelligence Lead, this role will focus … designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion for solving complex ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go. If you love making a difference, you’ll love making it sparkle for millions … Financial Services team. You’ll lead how we optimise offers across Very Pay and third-party FS products, using data, experimentation and machine learning to drive smarter decisions across the customer journey.From powering personalisation in Sigma IQ to leading advanced testing and modelling strategies, you’ll balance short ...

exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant … solutions with real-world needs. Ensure that AI solutions are responsible, ethical and align with governance standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. ...

thoughtful leader. We’re now helping to build the team around them.ML Ops/Model Deployment (CI/CD, Scaling, Robustness)As the ML Ops Engineer, you’ll focus on operationalising research models—building the systems, pipelines and tooling that take experimental work and make it stable, scalable and production … prototypes.Managing model registries, monitoring, versioning and observability.Supporting integration of research models into wider engineering systems.Ensuring reproducibility and robustness across the model lifecycle.Ideal ProfileExperience in ML Ops or production ML engineering.Strong CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).Docker/Kubernetes and modern deployment frameworks (MLflow, Seldon, BentoML ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery - Experience building AI-powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI. The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000–£100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … solutionsWhat experience would help someone be successful in this role at Roku Extensive experience in a software engineering environmentDemonstrated project work using AI/ML and LLM technologiesProficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologiesExperience working in an embedded environmentExperience in productionising solutions ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

here for more information on flexible working optionsFlexible Working OptionsHybrid Working, Job ShareJob Description SummaryUses expertise to select and develop the most appropriate AI&ML solution to a business problem. This can include feature selection, model selection, model training, prompting, fine-tuning, and designing appropriate validation frameworks. Supports capability growth … investing in our technologies, workplaces and colleagues to make our Group a great place for everyone.What we’re looking for3+ years’ experience delivering AI, machine learning, data science or advanced analytics solutions end-to-end, with clear evidence of business impact.3+ years’ experience shaping or delivering AI strategy ...

execute a clear AI roadmap aligned with the organisation’s broader business objectives.Lead AI Delivery Oversee the full life cycle of AI and machine learning solutions, from ideation through to deployment and scaling.Team Leadership & Development Lead, manage, and grow a high-performing AI team, driving a culture … including efficiency gains, revenue growth, and enhanced customer experience.Skills & ExperienceEssential: Proven experience leading and managing an AI or data science teamStrong expertise in AI, machine learning, and advanced analyticsDemonstrated experience delivering AI solutions within a commercial or enterprise environmentExperience developing and implementing AI strategies at a senior levelExcellent ...

data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions.This is a permanent within our Technology Solutions function. At Credera … data value chain- Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures- Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches- Experience implementing robust data management, security and governance for public ...

develop security responses within large amounts of complex data. (Lead Criteria)Experience of using analytics for risk scoring, recommender solutions or other operationalised machine learning applications. (Second Lead Criteria)Experience of creating automated reporting solutions or bespoke data visualisations with embedded analytics including UI design best practices.Experience … benefits for its members (subscription payable monthly).Family friendly policies including enhanced maternity and shared parental leave pay after 1 year’s continuous service.Funded learning and development to support progress in your role and career. This includes industry recognised qualifications and accreditations, coaching, mentoring and talent development programmes.An inclusive ...

will:Design, build and maintain scalable data pipelines and data platformsDevelop analytics and AI-enabled solutions that support business decision-makingCreate and implement machine learning and generative AI solutionsIntegrate data from multiple sources while ensuring data quality and reliabilityWork closely with analysts, product teams and stakeholders to translate … Engineer, Data Developer or similarStrong programming skills in Python and SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data ...

Design, build and maintain scalable data pipelines and data platforms Develop analytics and AI-enabled solutions that support business decision-making Create and implement machine learning and generative AI solutions Integrate data from multiple sources while ensuring data quality and reliability Work closely with analysts, product teams … similar Strong programming skills in Python and SQL Experience building data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

Full Stack Software Engineer - FULLY REMOTE(Golang | Typescript | VueJS | AWS | Lambda | DynamoDB | Machine Learning)70,000 DOE + Full remote work, flexible hours, 25 days annual leave, medical insurance, life assurance, 2,000 techscheme, social budget, progression plan, annual appraisalsWork on a sleek intelligence platformOne of the fastest … immediate consideration. The interview process is straight forward and will be conducted remotely.Full Stack Software Engineer - FULLY REMOTE(Golang | Typescript | VueJS | AWS | Lambda | DynamoDB | Machine Learning)Oscar Technology is acting as an Employment Agency in relation to this vacancy.To understand more about what we do with your data ...