1 to 25 of 336 Machine Learning Jobs in the North West

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop and deploy machine learning ...

expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE As a Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across … orchestration technologies. Familiarity with machine learning concepts, statistical techniques, or machine learning frameworks, and experience collaborating with data scientists or ML engineers. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note ...

skills we’re looking for to succeed in the role: Azure Cloud & AI Platform Expertise: Deep experience and strong understanding of Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such … emphasis on auditability, versioning, and data security. You’ll collaboratively design and implement AI Ops on cloud (Azure). You’ll optimise deployment of ML & AI model scoring code in production services. You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data ...

supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within … Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. Being part of the Consumer Data Science team will allow you to gain insight into how the business ...

fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment at Fitch … moving decisively. We have executive sponsorship, significant investment, and we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders ...

Machine Learning Engineer Day rate - £420 per day (Inside IR35) Contract length - 6 months (extensions for up to 2 years) Hybrid working - x2 days per week in Manchester Spencer Rose are partnered with a leading Financial Services organisation who are currently on the look out for AI Machine Learning Engineer to design, build and deploy enterprise scale AI solutions. Within this role, the AI Machine Learning Engineer will work with cutting edge technologies including LLMs, Agentic AI, RAG, PyTorch and Kubernetes, to deliver production ready applications. The AI Machine Learning Engineer will ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with … Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you’ll get stuck into side‐of‐the‐desk projects ...

complex problems with machine learning techniques. Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land,you’llbe working with some … Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job,you’llget stuck into side-of-the-desk projects ...

data and AI? This is an opportunity to join a growing team at a pivotal stage in its transformation, helping to build scalable machine learning solutions that drive real commercial outcomes. You'll work closely with senior stakeholders and play a key role in shaping how Data Science … work in a collaborative, business-focused environment Exposure to cloud technologies such as GCP or Azure is advantageous Experience with Vertex AI, Azure ML, or similar machine learning platforms is beneficial What They Offer Salary up to £55,000 Hybrid working with 3 days per week in Knowsley ...

business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This organisation … analytics, segmentation, churn, propensity modelling, forecasting, or related use cases Exposure to cloud environments such as Azure or GCP is beneficial Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous BENEFITS The successful Data Scientist will receive the following benefits: Salary between ...

company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced … statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating … cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across ...

Data Scientist (PhD, Chemical Engineering, Process Engineering & Machine Learning) Start date : To be agreed. Duration & hours : Full-time permanent contract, 40 hours per week. Salary : Competitive up to £42k. Workplace : Currently hybrid working pattern of two days in the office in Altrincham, Cheshire, followed by three days home … highly skilled and innovative Data Scientist with a PhD in Chemical Engineering with a focus on full integration of domain-specific process knowledge into machine learning models. As a Data Scientist, you will play a pivotal role in advancing our chemical processes, optimising process performance, and driving product ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University … area of the fundamentals of machine learning, including probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy, and security. These roles focus on advancing machine learning methodologies, though applications of ML are highly valued. Candidates ...

define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable. You’ll also embed model risk management into delivery, supporting repeatable builds, clear … excellence, reusable patterns and production‐ready ways of working. You’ll mentor colleagues, support communities of practice and influence platform and architecture decisions so ML products deliver sustainable business value at scale. More About the role: Design and evolve scalable, production-grade ML workflows on Databricks. Lead effective ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different ...

Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. More background: The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions.You must currently come from, or have recent experience working within, a consultancy or professional services environment , with experience … within larger data and AI transformation programmes.- Design, build and maintain scalable data pipelines, datasets and data models.- Develop solutions that support analytics, reporting, machine learning and AI use cases.- Work with both structured and unstructured data from multiple sources.- Develop and implement AI and machine learning ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with … within larger data and AI transformation programmes. Design, build and maintain scalable data pipelines, datasets and data models. Develop solutions that support analytics, reporting, machine learning and AI use cases. Work with both structured and unstructured data from multiple sources. Develop and implement AI and machine learning ...

Initial 6-month contract with strong likelihood of extension Overview Our client is seeking a skilled Cyber Security Specialist to join their dynamic Data & Machine Learning team. This exciting role involves supporting a variety of innovative AI initiatives within one of the UK's leading financial services organisations. … Intelligence, collaborating closely with engineering, data, and product teams to uphold security best practises and regulatory compliance. Responsibilities: Collaborate with teams developing AI and Machine Learning solutions across the organisation. Review and assess AI use cases to ensure security, compliance, and readiness for production deployment. Provide cyber security ...

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 ...