76 to 99 of 99 Machine Learning Jobs in the North West

beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business … Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling … workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi‐disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business ...

someone to and come expertise in Databricks, the other Microsoft Fabric. You’ll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value. This is a UK‐based role (Edinburgh, Manchester … Permanent What you’ll do Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end, with a focus on Lakehouse Architecture and ML/AI-driven analytics. Design scalable data models and pipelines using Spark, Delta Lake, and PySpark. Lead client engagements, shaping data strategies and best‐practice ...

talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR‐specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible … integration patterns, including REST and SOAP APIs, event‐driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning-driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying opportunities for growth and operational efficiency ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What Youll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic … capabilities and translate them into practical, high-value implementations. What Were Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. ...

dashboards, and narrative packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality … enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design for scale and controlled adoption. Product Mindset: Measure outcomes, simplify processes, and scale solutions. Design Thinking & Agile: Journey mapping, iterative delivery ...

慨正橡扯 is seeking a Senior Data Architect to lead architecture on client solution delivery engagements with high customer engagement. You will analyse business requirements throughout the service life cycle and design modern data analytics platforms. ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client's ...

.NET Developer, .NET 10.0 - Social Networking Site - Preston (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

Royal London is seeking a Senior MLOps Engineer to lead production-grade ML pipelines, governance, and reliability across the data and AI platform. You’ll partner with data scientists, data engineers and platform teams to raise standards for CI/CD, experiment tracking, and model lineage. You’ll design scalable ...

complex proprietary dataset. Partner with product managers, content managers and senior stakeholders to design, develop, deploy and optimise state-of-the-art AI/ML/LLM/GenAI solutions against business and user requirements. Optimise LLMs, datasets and agent workflows to the highest quality standards, detecting and mitigating hallucinations … evaluation and experimentation methodology, with a focus on correctness, faithfulness and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML or data-driven systems in live production, ideally within a large or multi-division organisation. Senior engineering leadership or Head of AI-level background - able ...

MLOps, and collaborate with Analytics, Product, and Technology teams to deliver automated decisioning. The role requires leadership of a multi-disciplinary DS/ML/MLops team, ensuring explainability and governance across scaled solutions. #J-18808-Ljbffr ...

ITSM platform. Your role will be to identify, scope, design, develop, test, and deploy new functionality including the use of AI, and Machine Learning. You will help build the platform Roadmap alongside the ITSM product Delivery Manager, and lead on programmes of change in collaboration with business directorates. … investment returns). Further details and outline of benefits can be found at: http://www.nhsbsa.nhs.uk/information-about-nhs-pensions‎ Supportive learning culture - we’ve fostered a culture of continuous learning where colleagues are well-led, engaged, and encouraged to grow. We support you in reaching ...

Overview Automation Technologies and AI/ML-Driven Platforms and Analytics Tools; in the realm of automation technologies and AI/ML-driven observability platforms and analytics tools, the following are essential: Terraform Itential NetDevOps Splunk Python React JS Django Database Technologies Proficiency with database technologies is crucial, including: MySQL ...

work ETL/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit … learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot , etc. Ability to translate complex graph or AI concepts to varied audiences. ...

seeking a Lead Security Data Scientist to lead a specialist team using data science, ML, AI and analytics to detect threats and strengthen security of critical public services. This is a leadership role within the Cyber Resilience Centre, focusing on setting strategy and delivering value across the organisation. The role … requires strong leadership, experience in AI/ML deployment, and the ability to influence senior stakeholders while delivering tangible security improvements for UK #J-18808-Ljbffr ...

NatWest Group in Manchester is seeking an AI Engineering Lead to design, build and deploy production-grade ML and AI systems for the Economic Crime Hub. You will translate analytical requirements into scalable solutions and own end-to-end model lifecycles. Collaborate with Analytics, Product and Tech teams to raise … standards, govern risk, and ensure compliant deployment across platforms. You will lead ML engineering, establish architecture, and mentor a high-performing team. #J-18808-Ljbffr ...

fast-paced, innovation-focused environment. The role involves mentoring juniors, collaborating with traders and software architects, and using Python/R with ML frameworks on cloud platforms. This is a hybrid position with strong growth potential in a global betting group. #J-18808-Ljbffr ...

architecture teams. Deep knowledge of modern software architecture patterns, including microservices, event‐driven systems, and cloud‐native design. Strong understanding of AI/ML concepts and integration approaches, including LLMs, RAG architectures, vector databases, and responsible AI practices. Expertise in scalable platform design, performance optimisation, and distributed systems used … architecture and delivery. Benefits 25 days annual leave (with the option to buy and sell additional days) Cycle to work scheme Access to Learning & Development platform Life Insurance Auto Enrolment Pensions Healthshield (Cashback on dental check-ups and fillings, eye tests, physiotherapy, prescriptions and much more Reimburse for usage ...