201 to 225 of 227 Machine Learning Jobs in the North West

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus. Strong Java development skills ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

senior data engineering leader in the UK to drive complex data delivery across client projects. You’ll shape data pipelines, data lakes, and ML-ready platforms using Spark, Python, SQL, and AWS services. You’ll mentor engineers, collaborate with architects and stakeholders, and ensure secure, scalable solutions within a hybrid ...

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 ...

Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms. Application Security ...

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 ...

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 ...

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 ...

Technology. Proven experience in business development within a medium to large scale IT services provider specifically into the Insurance sector Experience with AI/ML use cases in underwriting, claims, and fraud. Familiarity with cloud ecosystems (AWS, Azure), actuarial data environments, and Insurtech integration. Additional Information Why join Version … Professional Growth: We offer peer mentorship programs and career development opportunities to help you reach your full potential, giving you full access to modern learning platforms to grow your skills. Work-Life Balance : We understand the importance of work-life balance and offer flexible working arrangements. Supportive Community: Join ...

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … end. Ensure quarterly priorities are delivered alongside standing work and ad hoc requests. Maintain Fraud & AML-related regular reporting. Support data science and ML model development and monitoring Requirements Extensive analytics engineering background with expert SQL and data modelling skills. Hands-on experience with dbt (or similar framework) to build ...

Analytics. You will productionise data pipelines, collaborate with commercial teams to drive adoption and impact, and leverage advanced Power BI skills and ML experience. #J-18808-Ljbffr ...

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 ...

driven revenue, and use them to inform the roadmap. Requirements Experience: 5+ years of product management experience, including 2+ years specifically shaping AI/ML-powered products or features, with a strong background in ILM or financial technology Domain Knowledge: Deep understanding of AP processes AI/ML Fluency: Real … working knowledge of AI/ML technologies; comfortable making product trade-off calls on model behavior, confidence, and evaluation rather than relying on a vendor's claims AI Governance: Sound judgment on where AI should act autonomously and where it shouldn't, and experience designing controls that hold ...

CreateFuture seeks a Senior Data Engineer with an ML focus to own data and feature pipelines for production ML systems. You will collaborate with data scientists and ML engineers, mentor junior engineers, and elevate engineering practices. The role emphasises Python, PySpark, and platforms like Databricks, Snowflake, or AWS. You will ...

Wipro Limited in the United Kingdom seeks an experienced engineer to design and implement scalable application solutions. You will develop module-level code, review implementations, and create replication patterns while collaborating with stakeholders to deliver ...

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 ...

Fletchers Solicitors is seeking a Software Engineer to join the AI team, contributing to the design, development, and scaling of backend services for ML-enabled tools. The role emphasizes rapid prototyping, production-readiness, and close collaboration with product, data science, and clients across multiple projects. The ideal candidate will have ...

Anaplan Inc. is seeking a senior backend engineer to join the Predictive Intelligence team in Manchester. You will build scalable ML backend services powering forecasting solutions, working with data scientists and platform partners to productionize models and maintain high-availability production systems. You will design and operate MLOps pipelines, deployment ...

seeking a data engineering professional to design and build scalable real-time data systems on the Hadoop ecosystem, collaborating with data scientists to operationalize ML models using CML. The role spans data ingestion, transformation, and full-stack tooling with Java, Spark, Python, Flask, and React, emphasizing performance tuning and efficient ...

DevOps Engineer to join an Engineering Data Platform team. You will automate delivery pipelines, provision environments, and ensure secure, auditable deployments for AI/ML workloads. The role involves building and operating pipelines, Docker container workflows, and IaC with Terraform in an Azure cloud setting, with flexible UK-based locations ...

build the runway. Training pipelines, model registries, feature stores, evaluation, deployment, observability and cost governance - you turn ML from artisanal to industrial across every AutoThink product. What you'll build A shared ML/LLM platform used by every AutoThink product team. CI/CD for models, prompts and evaluations. … Cost and latency observability across every model call. Secure, multi-tenant inference infrastructure. Requirements 5+ years platform/infra/DevOps, ideally with an ML flavour. Strong Kubernetes, Terraform, CI/CD. Comfortable with GPU workloads and inference optimisation. Security and compliance mindset (SOC2, ISO 27001, UK GDPR). Right ...

AutoThink Group is seeking an experienced ML engineer to take models from notebook to production, ensuring health and performance across deployments. You will work on forecasting, ranking and classification models shipped weekly, building feature stores, training pipelines and evaluation harnesses. Expect drift monitoring, automatic retraining loops, and fine-tuning/… distillation for high-volume LLM paths, applying both classical ML and modern deep learning approaches with a strong emphasis on #J-18808-Ljbffr ...

Starling Bank is seeking an analytics engineering leader to drive a large analytics estate across banking services, customer identity, and ML engineering. You will own end-to-end data initiatives, work closely with stakeholders, and ensure rigorous data modelling and governance while advancing fraud and AML reporting. You will lead ...

Leaders, Ecosystem teams, architects, and SMEs to shape solutions that are differentiated, relevant, and grounded in delivery capability. Connect data platforms, governance, AI/ML, and agentic enterprise data foundations to tangible business outcomes. Requires hands-on experience with Agentic AI solutions and use case execution.Maintain a reusable library spanning … industries e.g. BFSI, Manufacturing, Travel, Telecom, Media, Gaming, Life Sciences.* Strong practical understanding across the data and AI stack — platforms, governance, and AI/ML — sufficient to independently explore client problems, define transformation opportunities, establish solution direction and work credibly with technical teams.* Ability to articulate value cases spanning data ...

NeuroDOCTRINE in Manchester/Los Angeles is seeking an On-Device ML Engineer focused on federated learning to keep models on the device and protect sensitive data. You will design federated update loops and evaluate drift and leakage risk. Proficiency in Python with mobile/embedded deployment, plus experience ...