26 to 50 of 89 Machine Learning Jobs in Manchester

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 ...

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 ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

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 ...

experience delivering production solutions, supported by a portfolio or real-world examples. Strong interest in AI, automation and emerging technologies, with evidence of continuous learning and experimentation. Experience making architectural and technical decisions independently. Hands-on experience building and deploying AI solutions using modern AI platforms and large language … Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

optimise data solutions using Microsoft Fabric and Azure , enabling clients to make smarter decisions, modernise legacy estates and accelerate analytics, reporting, AI and machine learning initiatives. As part of my clients Groups Data & AI practice , youll work across a variety of projects shaping architectures, building scalable pipelines … facilitating workshops, leading technical discussions and producing clear documentation. Enjoys solving complex problems, exploring emerging technologies and contributing ideas. Thrives in collaborative environments where learning, knowledge sharing and continuous improvement are valued. You MUST have ILR or be a UK Citizen to apply for this role. ...

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 ...

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 ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What youll need ...

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 ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

technical expertise in SQL and working with large, complex datasets. Experience with tools such as Power BI, Tableau, Python, statistics and/or machine learning. Exceptional stakeholder management and communication skills, with the ability to influence at senior levels. A proactive, can-do attitude, with the ability to thrive ...

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 ...

team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery‐focused team that sits ...

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 ...

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 ...

modern product development, using AI daily to improve research, analysis, prioritisation, documentation and execution. Experience working with Generative AI, LLMs, AI agents or machine learning products, with an understanding of their capabilities, limitations and commercial applications. Highly data-driven, comfortable defining KPIs, analysing product performance and making evidence … based product decisions. Comfortable working in environments where rapid experimentation, continuous learning and iteration are expected. Excellent stakeholder management and communication skills, capable of influencing senior leaders while maintaining close collaboration with engineering teams. Entrepreneurial mindset with the ability to thrive in a scaling business where ambiguity, pace ...

mindset; able to effectively operate within a fast‐paced MGA environment. Tech-forward Mindset: Strong strategic grasp of how advanced technology (including AI, Machine Learning, and Advanced Data Science) can be used to disrupt and reinvent traditional claims handling processes for the better. People Leadership/Gravitas: Proven … designers; knowledge of UK Claims Management platforms. Grow with us We may move fast at the company, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you. Thrive and perform Your best work begins when you feel your best. Enjoy private healthcare ...

governance and quality frameworks Coaching and mentoring Product Managers Consultancy or client-facing environments Cloud platforms including AWS, Azure or Google Cloud (desirable) AI, Machine Learning or advanced analytics products (desirable) Government or regulated sectors (desirable). Why Apply? This is an opportunity to join a consultancy where ...

data quality Leading multidisciplinary delivery teams Consultancy, Government or highly regulated environments (desirable) Cloud platforms such as AWS, Azure or GCP (desirable) AI or Machine Learning products (desirable). Why Apply? You'll join an award-winning consultancy that places Product at the heart of digital transformation, offering ...

Experience coaching Product Managers and delivery teams. AWS, Azure or Google Cloud. Experience defining Data Product Management standards or operating models. Exposure to AI, Machine Learning or advanced analytics. Consultancy experience. What's on Offer Company pension scheme Generous healthcare package Relocation support package Various retail discounts ...

supporting Product Managers and delivery teams. Desirable Experience Experience delivering cloud-based data solutions in AWS, Azure or Google Cloud. Exposure to AI, Machine Learning or advanced analytics products. Experience working within consultancy, government or highly regulated environments. What's on Offer Company pension scheme Generous healthcare package ...