Deep Learning Jobs in Yorkshire

3 of 3 Deep Learning Jobs in Yorkshire

Data Scientist - PwC Visa Sponsorship Available

Leeds, United Kingdom
HipHopTune Media
Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Engineer

Sheffield, South Yorkshire, Yorkshire, United Kingdom
Hybrid / WFH Options
VANLOQ LIMITED
Job Title: Machine Learning Engineer Location: Sheffield (Hybrid 3 days per week in office) Contract: 6-Month Initial Contract IR35 Status: Inside IR35 Sector: Financial Services Overview: We are working with a leading financial services client in Sheffield seeking a Machine Learning Engineer for an initial 6-month contract. This is an exciting opportunity to play a key … part of a collaborative team to build advanced models for content extraction and classification from images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document … Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure More ❯
Employment Type: Contract
Posted:

Data Scientist

Leeds, England, United Kingdom
AssetCool
Data Scientist – Vision & Machine Learning for Robotics Location: Leeds (Full-Time, On-Site) Salary: Competitive, Depending on Experience About AssetCool At AssetCool, we develop breakthrough robotic systems to modernise energy infrastructure and accelerate the energy transition. Our robots operate on live power lines, applying advanced coatings to reduce losses and improve reliability—helping utilities upgrade their networks without shutdowns. … a Data Scientist to lead the development of vision and data-processing pipelines for our next-gen robotic systems. You’ll design and prototype image-processing algorithms and machine-learning models, with direct influence over product performance and autonomy. This is a hands-on, applied role where you will bridge data science, AI, and robotics—taking ideas from prototype … to field-tested implementation. Key Responsibilities Develop image-processing & image analysis pipelines: registration, segmentation, classification, object tracking Build, train, and evaluate deep learning models (e.g. CNNs, YOLO) Design data-driven solutions to robotic vision and inspection problems Prototype solutions in Python and/or MATLAB , moving quickly from idea to evaluation Collaborate closely with hardware, software, and deployment More ❯
Posted: