76 to 100 of 247 Machine Learning Jobs in the North West

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 ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior Engineers. Candidates should have 8+ years of experience, strong knowledge of AI technologies ...

week in our Manchester office, where collaboration and connection with your team are an important part of how we work. The role As an ML/AI Engineer, you will design,buildandoperatesecure,scalableand reliable AI-enabled systems that support the delivery of live digital services. Working across the full machine learning lifecycle, you will develop, test, deploy and continuously improve ML and AI models, ensuring they perform effectively in production environments. You will be responsible for ensuring AI solutions are technically robust, observable, explainable and maintainable, with appropriate controls in place to manage model,serviceand data risks. Working ...

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 ...

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 ...

sure we can be there for our customers. Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning? We’re on the lookout for a Lead AI Engineer to take the helm of our AI initiatives. You’ll lead ...

make sure we can be there for our customers.Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning? We’re on the lookout for a Lead AI Engineer to take the helm of our AI initiatives. You’ll lead ...

capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability ...

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 ...

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 ...

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 ...

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 ...

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 ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join our IT teams, which … secure data handling. Maintain a prioritised innovation and automation backlog, supported by clear problem statements, anticipated benefits, delivery plans and measurable outcomes. Promote technical learning and innovation through documentation, demonstrations, mentoring, knowledge sharing and collaboration across Cybersecurity and the wider technology organisation. Who you are Degree-level knowledge ...

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 ...