51 to 75 of 156 Machine Learning Jobs in the North West

Training Transformation Services is modernising what’s possible in the training and preparation of our armed forces. With a real blended approach to learning and using the latest innovative systems and technology, we ensure our service men and women really are prepared for any situation.Role & ResponsibilitiesThe Chief Technology Officer … Understanding of cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments. Familiarity with Synthetic training environmentsDemonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation.Data Analytics techniquesLLM and RAG exploitation to optimise ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting … date with the latest generative AI technologies, trends, and best practices.Connect to your skills and professional experience Candidates must have experience in AI/ML Engineering involving some or all the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience leading the delivery ...

used by analysts worldwide with direct visibility to your contributions• Modern technology stack – Work with 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 … with cross-functional teams and communicate technical concepts clearlyWhat 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 ...

based product portfolio. Partner with product managers, content managers, and senior stakeholders to design, build, deploy, and optimise state of the art AI, ML, LLM, and GenAI solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. … machine learning, or a related STEM field. Strong leader, able to communicate clearly at all levels. Track record deploying business critical ML models in production. Experience building and scaling RAG applications with semantic search and text embeddings. Cloud computing experience, ideally Azure, AWS, or GCP. Strong ML ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.Right now, our Data Scientists are working on several … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore ...

commerce industry would be a distinct advantage.ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services.Build and optimise data pipelines on AWS to collect, transform … .Knowledge of design patterns and software architecture.Strong problem-solving and analytical skills.Good presentation and teamwork skills.Comfortable working in both Agile and Waterfall methodologies.DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models.Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines ...

data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively.Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts.Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role but your experience does ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

code.Key Soft CompetenciesStrong 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 ResponsibilitiesOver the next 18 months, the successful candidate will contribute to the following areas ...

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 ...

define and invent cloud-native reference architectures across a range of use cases - including Generative and Agentic AI (and its application to Agentic Commerce), Machine Learning, Serverless and container-based architectures, Data and Analytics, DevOps and Security - and turn delivered solutions into reusable assets that other Solutions Architects … advocacy for customers who want a deeper support relationship• Specialists across many technical domains - bring deep expertise in areas such as AI/ML, data & analytics, security, networking and more, on tap when you need themAs the Solutions Architect, you connect the technical dots across this team ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

data-led enterprise where work directly influences how life-changing medicines are discovered, developed, and delivered. Here technology platforms, advanced analytics, AI and machine learning are combined with leading science to solve complex problems at pace. Colleagues are encouraged to experiment with modern tools, challenge the status ...

Warehouse context. Mandatory Certifications/Clearance Active SC Clearance . AWS Certified Cloud Practitioner (or higher). Azure AI Fundamentals (or practical awareness of ML/AI services). Desirable Experience Big Data and Cloud Processing: Hands-on experience with AWS (EMR, S3, Lambda, Redshift, Athena, CloudWatch) and PySpark/ ...

site reliability engineering (SRE) principles and practices.GCP certifications (e.g., Cloud Digital Leader, Associate Cloud Engineer, DevOps Engineer).ITILv4 Foundation certification.Familiarity with GCP AI/ML services (AI Platform, AutoML).Experience with GCP billing, cost management, and optimisation.Exposure to GCP security tools (Security Command Centre, Cloud Armor or Cloud Security Scanner ...

discipline.Demonstrable 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 models.Strong Python … solutions.Knowledge of 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. ...

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. ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent.GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity.Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with ...

members.Stay up to date with new platform capabilities and actively suggest improvements or new services that align with company strategy (e.g., enabling AI/ML or hybrid connectivity). Represent the team to the rest of the company, co-authoring bid documentation for new customer work.If the following describes ...

site reliability engineering (SRE) principles and practices.GCP certifications (e.g., Cloud Digital Leader, Associate Cloud Engineer, DevOps Engineer).ITILv4 Foundation certification.Familiarity with GCP AI/ML services (AI Platform, AutoML).Experience with GCP billing, cost management, and optimisation.Exposure to GCP security tools (Security Command Centre, Cloud Armor or Cloud Security Scanner ...

define and invent cloud-native reference architectures across a range of use cases - including Generative and Agentic AI (and its application to Agentic Commerce), Machine Learning, Serverless and container-based architectures, Data and Analytics, DevOps and Security - and turn delivered solutions into reusable assets that other Solutions Architects … advocacy for customers who want a deeper support relationship• Specialists across many technical domains - bring deep expertise in areas such as AI/ML, data & analytics, security, networking and more, on tap when you need themAs the Solutions Architect, you connect the technical dots across this team ...