26 to 50 of 364 Machine Learning Jobs in the North of England

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 ...

Data Scientist Liverpool (Hybrid) | Up to £55,000 Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You'll work … Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged. The Role You will be responsible for: Collecting ...

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 ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

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 ...

areas of expertise, including Machine Learning, Applied AI, Generative AI, LLMs, RAG and Agentic AI. Key Responsibilities Design and develop AI/ML solutions from early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs … Python and software engineering skills. Solid understanding of core AI and Machine Learning concepts. Hands-on experience developing and delivering AI/ML solutions. Good understanding of how AI/ML models work, rather than simply using pre-built models as black-box components. Degree in Computer Science ...

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design … future years as well: – Research Fellow – Postdoc – PhD Student The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‐agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

both technical and non-technical audiences. Ethical AI & Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Qualifications Proficiency in Python and C#. … plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection ...

Research Associate in Speech and Acoustic Sensing for Respiratory Health Are you a researcher in machine learning for speech and audio who wants to develop technology for earlier detection of lung disease? We have an exciting opportunity for a Research Associate to join the LungSight project … invasive audio-visual screening approach for chronic lung disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real-world recordings of speech, breathing and cough. You will explore ...

DevOps and Machine Learning Operations Engineer Location: Manchester, UK Contract Type: Contract Position About the Project Join a specialist software development team delivering a new, business-critical technology platform for an established international organisation. This greenfield development project involves modern cloud architecture, data-intensive applications, and AI-enabled … focused alerts. Establish service level objectives and report against them. Run incident response: triage, mitigate, restore, and document post-incident reviews with corrective actions. Machine Learning Operations: Package, version, and deploy models and dependencies for traceable predictions. Automate evaluation before promotion and monitor drift, latency, and cost during ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

Engineer Purpose To lead the design and productionisation of Generative AI and LLM-driven applications, utilising GCP and Google’s AI ecosystem. The ML Engineer will architect scalable systems, mentor junior engineers and drive the technical roadmap for integrating Large Language Models into core products, demonstrating innovation and technical … advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional teams to translate complex business problems into ML-driven solutions. 3 Architect scalable LLM Ops pipelines on GCP (Vertex AI) for model fine-tuning, vector retrieval and low-latency inference. 4 Implement robust ...

growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact. The Company They are building a modern Data Science … team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning. The Role Build and deploy predictive and statistical models Develop customer segmentation, customer lifetime value, and churn models Deliver forecasting and customer analytics ...

environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions … security, data governance, quality and operational resilience requirements Evaluate and adopt new technologies where they add clear business value, from AI driven analytics and machine learning pipelines to modern cloud tooling and platform engineering Mentor other data engineers and grow the capability around you Build internal capacity across ...

University of Manchester is advertising postdoc and research fellow positions in machine learning within the Centre for AI Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop … learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

looking for a Data Science & AI Consultant to work on complex, mission-focused programmes. This is an opportunity for a hands-on data science, machine learning or AI professional to work on projects where advanced technology can support better decision-making and improved operational outcomes. The Role … including Generative AI and Agentic AI , as well as contributing to client strategy and the development of future opportunities. Key Responsibilities Apply data science, machine learning and AI techniques to complex client challenges Explore data and develop models, prototypes and AI-enabled solutions Support the development and evaluation ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

lessons learned fast. Be the kind of leader who creates that energy and channels it into things that last. Push the frontier of AI, ML, and intelligent systems Go beyond adopting AI tools — define how intelligent systems become structural, load-bearing parts of the platforms your teams own. Whether that … powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If you've built ML systems from the ground up, that experience will resonate deeply here — and you'll have ...

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research … passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment.If you like working with diverse data, collaborating with others, and seeing your models used in production ...

with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate Essential Experience … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Deep understanding of product delivery from requirements to desirable ...

Machine Learning and Artificial Intelligence, key technologies for the future of computing. Arm is everywhere technology matters. Are you passionate about ML systems and keen to shape how AI runs efficiently on next generation accelerator designs? Then we should talk! We are expanding multiple teams across our ML … contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI! Responsibilities: You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R‐based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years\' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands‐on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

firm to have a dedicated AI department, which started in August 2023. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned … requirements below are still encouraged to apply Main Responsibilities Take ownership of backend services that support the development, testing, deployment, and monitoring of ML ‐ enabled products Contribute to infrastructure and architecture decisions by developing a strong understanding of business and product needs Maintain and extend existing, and build new APIs ...