76 to 100 of 365 Machine Learning Jobs in the North of England

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

including latency, memory use, thermal behaviour, maintainability, and deployment constraints. Support ONNX Runtime, TensorRT, OpenVINO, quantization, and standard edge deployment profiles in collaboration with ML and software engineers. Build and maintain portable innovation demos, including tabletop demo boxes, experimental sensor rigs, industrial camera setups, client-data capture paths, and field … recommendations. Ability to turn ambiguous inspection challenges into practical hardware experiments, prototype plans, and clear build-versus-buy recommendations. Ability to communicate clearly with ML engineers, software engineers, integrators, client teams, hardware partners, and commercial stakeholders. Highly Beneficial Skills Experience with advanced sensors such as laser line scanners, structured-light ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation. The successful candidate will work across the full … monitoring and responsible use Skills Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologies Experience working with Azure and cloud-based technologies Knowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

University of Manchester is seeking Senior Lecturers and Lecturers in Machine Learning to join its new Centre for AI Fundamentals. This strategic effort aims to promote advanced methodologies in AI and foster collaboration across departments and international networks. Candidates will engage in research areas such as deep learning ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … agentic AI. Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

clinical data. The post holder will contribute to ongoing research projects aimed at improving cancer diagnosis, prognosis, and treatment through innovative use of machine learning and AI techniques. Key responsibilities include designing and implementing analytical pipelines, integrating diverse datasets, contributing to study design, and interpreting results … closely related discipline For Research Fellow level: significant postdoctoral research experience and a strong publication record Required Expertise/Skills Experience in machine learning, artificial intelligence, or statistical modelling applied to biomedical or imaging data Strong programming skills (e.g., Python, R, or similar) Experience working with large-scale ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data.Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI. Experience in financial services ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

International Society for Bayesian Analysis is seeking to fill research positions in machine learning at various levels at the University of Manchester. Candidates will engage in groundbreaking research funded by the Turing AI World-Leading Researcher Fellowship, focusing on probabilistic modelling in diverse areas including human-AI interaction … drug design. Ideal applicants will have strong expertise in specific machine learning topics and a passion for collaborative research. #J-18808-Ljbffr ...

will focus on the discovery, design, and delivery of data modernisation and migration projects, helping customers build the foundations needed for successful AI and machine learning adoption across large-scale cloud and AI initiatives. Responsibilities: Lead data consulting engagements from discovery through to implementation and handover. Facilitate workshops … Adoption Framework principles. Deliver end-to-end data platform projects covering architecture, deployment, configuration and optimisation. Work with Architects and AI specialists to support machine learning and AI initiatives. Support the development of repeatable data and AI delivery frameworks and methodologies. Act as a technical escalation point, supporting ...

requirements that can be delivered as effective AI‐powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking … Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements ...

device inference, collaborate with signal-processing and neuromorphic engineers, and keep models honest against field conditions. What you’ll bring Experience with ML for time-series or biosignals (PyTorch/JAX), model evaluation under noisy real-world data, and a bias toward deployable systems. Apply for Machine Learning ...

helping several teams agree on a practical way forward. GTI is part of Arm’s Strategy & Ecosystems organisation and works with teams across graphics, machine learning, drivers, developer tools, and performance. Responsibilities The Principal Software Engineer will: Lead game-engine investigations and integrations involving new Arm graphics … partners' offices. Nice to Have Experience in some of the following areas would be useful: Unreal Engine, mobile graphics, Android, or Arm Mali GPUs. Machine learning for graphics, neural rendering, upscaling, frame generation, or development with pre-release hardware and software. We don't expect a deep level ...

area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes … learning new programming languages - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior ...