1 to 25 of 87 Machine Learning Jobs in the North West

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Junior AI Integration Engineer, Machine Learning, Hybrid, COR7509 Are you a bright, ambitious Junior eager to kickstart your career in AI and machine learning? Join a forward-thinking team where you’ll explore how AI can transform products and processes, learning from real-world projects … tangible impact. The Role As a Junior AI Integration Engineer, you’ll support AI initiatives across the business, helping identify opportunities to apply machine learning, assist in the design and implementation of AI-driven solutions, and contribute to evolving our product with innovative AI capabilities. This is your ...

Machine Learning Engineer to build the models and infrastructure that power Joveo's AI-driven hiring decisions. You will own the full ML lifecycle — from feature engineering to model deployment — ensuring our models are accurate, scalable, and production-ready. Key Responsibilities: - Design, train, and deploy machine learning … maintain feature stores - Develop model evaluation frameworks and monitor production model performance - Collaborate with data scientists to productionize experimental models - Build and maintain ML infrastructure — training pipelines, serving layers, and registries - Research and evaluate new ML techniques applicable to recruitment advertising Required Skills & Qualifications: - Strong proficiency in Python and ML ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You'll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting-edge capabilities. The Company Our client ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer: Hands-on experience with real-world projects Mentorship … opportunity to experience working with professionals in their chosen field Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning ...

Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake … optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping ...

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … relevant to hiring and talent Required Skills & Qualifications: - Strong foundation in machine learning, NLP, or applied AI - Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn) - Experience building and deploying LLM integrations or fine-tuned models - Familiarity with model serving infrastructure (e.g., SageMaker, Vertex AI, BentoML ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … Joveo's vast datasets and build predictive models that directly improve hiring outcomes for employers globally. You will work at the intersection of statistics, machine learning, and product — turning data into decisions. Key Responsibilities: - Design and build predictive models and statistical analyses to solve business problems - Conduct exploratory ...

Python Software Engineer/Developer (Data ML) Remote UK to £75k Are you a data savvy Python Software Engineer? You could be progressing your career in as a hands-on Python Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European … at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including ...

find the right people, faster and fairer. But we're not done. Not even close. Role: MLOps Engineer Location: Remote Industry: Technology/AI & ML Infrastructure Job Function: MLOps/ML Platform Engineering Role Overview: We are hiring an MLOps Engineer to build and operate the infrastructure that takes Joveo … delivery pipeline — ensuring models are versioned, monitored, and deployed with the same rigour as our software systems. Key Responsibilities: - Build and maintain ML pipelines from training to deployment and monitoring - Design model registries, experiment tracking, and feature store infrastructure - Automate model retraining, validation, and deployment workflows - Monitor deployed models ...

direction for how data, intelligence, and automation drive commercial performance. The ideal candidate will bring a blend of deep technical expertise across data science, machine learning, and modern data architecture, paired with strong commercial acumen and an ability to translate capability into meaningful outcomes. This role requires someone … ground up. As Director of Data & AI, you will have: Proven hands-on technical foundation in data science, machine learning, AI/ML, or adjacent fields, with the depth to make credible architectural decisions. Demonstrated experience leading and modernising a data function through significant change. Strong understanding ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer ...