226 to 250 of 377 Machine Learning Jobs in the North of England

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

government standards. Collaborate with senior stakeholders to align AI strategy with business objectives. Experience with scaling AI solutions in complex, regulated environments is required. Deep understanding of AI/ML lifecycle, model governance, and ethical AI principles. AI technical experience including AWS Bedrock, Azure AI Foundry, Google Vertex and open-source AI/ML stacks. Contribute to reusable architecture patterns More ❯

we do What Youll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions A collaborative mindset and a drive to lead innovation We take our inspiration from pets More ❯

the Databricks platform, and providing operational support. Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues. The position will also involve the management of security More ❯

members and promote knowledge sharing. Partner across departments for aligned priorities and timely execution. Develop business cases, assess risks, and resource needs. Stay updated on emerging tech, AI/ML applications, and industry trends. Lead product meetings focused on testing, performance, and coordination. Perform additional duties to support organizational growth. What You'll Need to Succeed: Bachelor's degree or … equivalent experience. Proven experience in product management, launching complex products. Experience with AI/ML platforms is highly desired. Ability to operate both strategically and tactically. Strong collaboration skills across functions in agile environments. Data-driven decision-making skills. Excellent communication and leadership abilities. Familiarity with product lifecycle and go-to-market strategies. Ability to work independently aligned with company More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge … projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment. Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data … Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React More ❯

with legacy systems (ideally Progress DB) Python for data scripting Great problem-solving and communication skills Desirable: PHP or hybrid cloud/on-prem experience Exposure to AI/ML or orchestration tools (e.g., Airflow, dbt) What’s on Offer Hybrid working (flexibility after probation) Open, collaborative tech environment Equipment of your choice (Mac, Windows, Linux) Competitive salary & pension Free More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge … projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment. Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data … Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world More ❯

for Experience with other codecs such as H.264/AVC, H.265/HEVC, VP9. Knowledge of emerging video coding standards like VVC (H.266). Curiosity about applying AI/ML to video compression and image processing. Experience optimizing video codec IP under tight performance, power, and area constraints. Why join arm Be part of a global team pushing the boundaries More ❯

Validation, with the support from your manager, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee More ❯

AI Engineer Opportunity (Generative AI & Machine Learning) – Manchester Are you passionate about pushing the boundaries of AI and machine learning? Join an innovative team delivering cutting-edge solutions for global clients. We’re looking for an experienced AI Engineer to work on impactful projects leveraging generative AI , advanced … machine learning models, and Databricks . What You’ll Do: • Develop generative AI models like GPT, DALL-E, and Stable Diffusion for real-world applications. • Build advanced ML solutions for classification, recommendations, and more. • Create scalable AI pipelines using tools like MLflow and Apache Spark. • Collaborate with teams to design AI systems for diverse industries. What You’ll … Bring: • 4+ years of AI/ML experience, including Databricks expertise. • Proficiency in Python and frameworks like PyTorch or TensorFlow. • Knowledge of cloud platforms ( Azure preferred ). • Passion for solving complex problems and innovating in AI. Why Join Us? • Impactful, cutting-edge projects with real-world value. • Career growth in AI, ML, and Databricks technologies. • Competitive salary, benefits, and flexible More ❯