26 to 50 of 99 Machine Learning Jobs in the North West

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

covering communications, customer engagement and payment solutions. Lead the design, development and launch of innovative cloud-native products and services. Drive adoption of AI, machine learning and automation technologies across both products and internal development processes. Build, develop and optimise the Product Development function, ensuring capability aligns with … Strong knowledge of cloud-based communications, customer engagement or SaaS platforms. Experience delivering enterprise-scale software products and technology transformation programmes. Expertise in AI, machine learning, analytics and data-driven product development. Knowledge of secure payment technologies, compliance frameworks and cloud infrastructure. Strong understanding of Agile delivery methodologies ...

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 ...

Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You’ll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you’ll be doing Leading deployment and scaling of ML systems … client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we’re looking ...

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 ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalent experience; Master’s degree is a plus ...

features. Who We're Looking For We're looking for a curious, analytical, and enthusiastic graduate who enjoys solving problems and learning new technologies. You'll be proactive, organised, and eager to develop your technical skills while working collaboratively in a supportive team environment. Requirements Essential Bachelor's degree … Google Gemini. Familiarity with Microsoft Excel or Google Sheets for handling data. Basic programming knowledge in Python, SQL, or JavaScript. Understanding of AI, machine learning, prompt engineering, or data analysis through university coursework or personal projects. Previous internship, placement, or personal projects related to AI or technology. Familiarity ...

diagnostic skills. Desirable Experience working within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI‐driven classification, routing or decision‐making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity … Oracle Hadoop Elasticsearch Git CI/CD Pipelines AI/LLM Platforms Agile Delivery At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well‐being of all employees. We take great pride in celebrating the diversity of each ...

research, analytical, and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively within cross‐functional teams. A proactive approach to learning new technologies and adapting to a rapidly evolving AI landscape. Key Responsibilities Over the next 18 months, the successful candidate will contribute ...

databases (Oracle) and data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular) Experience with Cloud ...

Strong research, analytical, and problem‐solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively within cross‐functional teams. Proactive approach to learning new technologies and adapting to a rapidly evolving AI landscape. Key Responsibilities Contribute to the design and development of innovative AI‐powered cybersecurity solutions ...

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 ...

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 ...

data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team ...

time and event-driven data platform experience Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness Day to Day: Leading and developing your data engineering squad ...

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 ...

automated model promotion across environments Define and enforce IAM least-privilege policies, KMS key management, and VPC/PrivateLink network controls for all ML workloads Create the 'golden template' MLOps patterns — model packaging, versioning, monitoring, and compliance gates — that other teams self-serve from Produce technical documentation and runbooks that … scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/CodeBuild or equivalent) — advanced; you've automated model promotion across environments General and technical Python/PySpark ...

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 … Experience Essential 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 ...

Azure DevOps, Git, APIs, and Agile methodologies Desirable: Microsoft Fabric Azure Data Factory Azure Functions Power Apps Power Automate SSRS/SSIS AI and Machine Learning exposure. Why Join Us? At Ascent, we pride ourselves on creating a supportive, inclusive, and collaborative environment where your contributions truly make ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability ...

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 ...

agents and LLM applications. Experience designing knowledge graphs and semantic data models. Familiarity with modern orchestration, workflow and data engineering platforms. Experience supporting AI, machine learning or autonomous systems with production data and knowledge infrastructure. Oscar Associates (UK) Limited is acting as an Employment Agency in relation ...