126 to 150 of 388 Machine Learning Jobs in the North of England

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 … 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 ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

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 … request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact. Learning and innovating today, striving for sustainable societies and business tomorrow At Munich Re Specialty - Global Markets our approach to ESG is underpinned by our desire ...

Asset Management, or Investment platform data solutionsExperience working with AWS-native data services and event-driven architecturesExperience building data products that support analytics, reporting, machine learning, or AI use casesKnowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patternsExperience leading distributed engineering teamsExperience establishing engineering standards … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich ...

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 ...

translate complex technical concepts for diverse audiences.Experience producing clear project documentation, technical specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g. ...

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 ...

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 ...

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 ...

their business needs and translate these into clear requirements for analysis. Identify opportunities for the use of advanced analytics techniques (e.g. predictive modelling and machine learning) to provide additional value.Use robust statistical techniques and be able to communicate your methodology to a wide range of stakeholders.Apply tools ...

their business needs and translate these into clear requirements for analysis. Identify opportunities for the use of advanced analytics techniques (e.g. predictive modelling and machine learning) to provide additional value.Use robust statistical techniques and be able to communicate your methodology to a wide range of stakeholders.Apply tools ...

changing business needs of our clients.Enjoy working within diverse and hybrid-located teams.Professional working proficiency in the English language.Preferred: Experience with Generative AI or machine learning applications in a supply chain context, and familiarity with cloud platforms (e.g., AWS, Azure, GCP).Please note as our clients include those ...

service integration into alerting, case management, and investigator workflows Evaluation harnesses (golden datasets, regression tests, red-teaming scenarios, offline metrics) Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controls Create clear decision packs (options and trade-offs across risk ...

latencyEnsure resilience, delivery semantics, operational robustness, implement error handling, delivery guarantees, retries, and DLQ patterns; design for recoverability and safe failure modesEmbed AI/ML-driven intelligent observability features whilst designing and integrate capabilities like anomaly detection, forecasting, predictive alerting, noise reduction, and automated root-cause analysis into the productOperationalise … production-grade LLM features (NLQ over telemetry, summarisation, incident triage, on-call copilots) using prompt engineering, RAG, evaluation, and guardrails; collaborate with DS/ML teams on model versioning, monitoring, retraining, and drift detection, including low-latency inference in streaming/serving pathsTo be successful in this role you should ...

strong theoretical DevOps concepts further solidified with industry-standard tooling education in building, containerisation, orchestration and deployment Gain access to a large portfolio of learning for both general-purpose and cloud-vendor specific tooling in AWS, Azure and GCP Explore the developer skills needed for learners to create applications … Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. ...

consulting.Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.Job DescriptionThis … InformationBenefits include:Hybrid working model with some flexible working25 days’ holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development.A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.Access ...

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 ...

Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with expertise in Agentic AI and Machine Learning, we’d love to hear from you! Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help ...

Nice to have experience: Experience integrating data with operational systems, including reverse ETL into platforms such as Salesforce. Understanding of the Data Science/Machine Learning lifecycle and MLOps. Experience using Infrastructure as Code approaches and tools such as Terraform or CloudFormation. Why PHMG Tech: The IT, Development ...

Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with expertise in Agentic AI and Machine Learning, we’d love to hear from you! Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help ...

Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with expertise in Agentic AI and Machine Learning, we'd love to hear from you! Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help ...

science capabilities to firm, practice group and client priorities Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform ...

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 ...