26 to 50 of 85 Machine Learning Jobs in the North West

customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value … experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working ...

talent Establish AI standards and best practices Build and lead the AI function What We're Looking For Technical Experience Software engineering or machine learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several … build a company, not just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision ...

Operations teams to drive innovation and enhance payment capabilities. Identify opportunities to improve efficiency, customer experience, and scalability through automation, artificial intelligence, and machine learning. Ensure the payments function supports the organisation's growth ambitions and strategic objectives. Payments Operations Oversee end-to-end payment operations across: Card payments … adoption of modern technologies and payment innovations to maintain a competitive market position. Automation, AI & Operational Efficiency Champion the use of automation, artificial intelligence, machine learning, and data-driven decision making across the payments function. Drive efficiency improvements across: Payment processing Reconciliation and settlement Exception management Fraud monitoring ...

master data management approaches Partnering with technical teams to ensure data is structured and accessible for effective reporting and analysis Bringing predictive analytics and machine learning expertise to develop early-stage models focused on areas such as: Recruitment performance Employee retention Referral acceptance Branch growth and performance … skills Experience designing analytical models, metrics and reporting frameworks A track record of turning data into actionable business insight Exposure to predictive analytics and machine learning techniques The ability to engage stakeholders and translate complex requirements into practical solutions This role would suit someone who enjoys operating ...

delivering real, production-ready outcomes. Key Responsibilities Define and implement the AI architecture strategy and roadmap Design scalable, secure, and high-performance AI/ML solutions Translate business requirements into end-to-end AI architectures Lead the design of data pipelines, model training environments, and deployment frameworks Implement best practices … technology, with a strong focus on AI, machine learning, and data architecture Proven track record of delivering enterprise-scale AI/ML solutions in complex environments Experience defining and implementing AI architecture strategies and roadmaps Strong hands-on experience building end-to-end AI systems (data pipelines, model ...

analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Java, Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive compensation … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

seeking a Head of Machine Learning & AI, based in Manchester (Hybrid). In this pivotal leadership role, you will define and oversee ML strategies that enhance customer experience across one of the UK’s top consumer platforms. Your responsibilities will include leading a team in production ML systems ...

emerging trends in LLMs, GenAI, and AI tooling Experience Required Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning Proven experience building and deploying LLM/Generative AI applications in production environments Hands-on experience with RAG architectures, embeddings, and vector ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

partners and people, we make it easier for everyone to experience the world. About our team : The PPC team builds and optimizes large‐scale ML models for online bidding across all major search providers, owning one of the industry's largest performance and auction strategies to keep Booking.com competitive. … expanding their technical competencies and that of their peers when a more efficient way presents itself. Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work. Responsible for acting as a force multiplier for junior peers in the team ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional … Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

Mathematics, Computer Science, Data Science). Proficiency in SQL and working knowledge of Python and/or R. Understanding of statistical and machine learning techniques (e.g. regression, clustering). Strong communication skills with the ability to explain technical concepts to non-technical audiences. Organised, proactive, and able … platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python and/or R Behaviours: Collaborative and team player Logical thinker with a professional ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

Analytics Officer, this is an opportunity to become the operational right-hand to a senior leader driving transformation across Data Engineering, Analytics, BI and Machine Learning. This isn't a traditional project coordination role. You'll be responsible for bringing structure, pace and accountability to a technically ambitious team … What you'll be doing: • Managing end-to-end delivery of data and analytics projects • Coordinating work across Data Engineering, BI and AI/ML teams • Running Agile ceremonies and delivery governance • Managing project plans, RAID logs and stakeholder communications • Removing blockers and driving accountability across teams • Translating technical progress ...

deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business … development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

production solutions) Experience building on Azure data/AI stack Hands‐on experience with Azure AI Foundry (must have) Proven delivery of AI/ML/GenAI solutions (not just POCs) Good grounding in data architecture Experience with: Microsoft stack (Fabric, SQL, low‐code environments) Data governance (e.g. Purview) Microsoft ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary ...

Python for automation and data processing Data platform and pipeline engineering experience Familiarity with orchestration tooling such as Airflow Understanding of MLOps practices and ML delivery workflows Additional Responsibilities Provide technical assurance, design review, and architecture support Define practical engineering standards and ways of working Mentor engineers and data scientists ...

distributed systems Experience with messaging (Kafka/MQ), data modelling, and APIs Solid DevOps: CI/CD, containers, cloud platforms Hands‐on AI/ML experience and integrating AI into solutions Background in financial services (ideally Corporate Actions or post‐trade) Ability to influence without authority in complex organisations Tech ...

consumer goods Familiarity with Dataform, dbt or equivalent transformation frameworks Experience with data cataloguing or governance tooling (Collibra, Alation, DataHub or equivalent) Exposure to ML/AI platform requirements — understanding what good data foundations look like to enable data science and personalisation What’s in it for me? Access bespoke ...