76 to 100 of 110 Deep Learning Jobs in the North of England

Machine Learning Engineer Get AI-powered advice on this job and more exclusive features. Location: Sheffield (Hybrid – 3 days per week in office) Contract: 6-Month Initial Contract IR35 Status: Inside IR35 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 … 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 ❯

wide Job Description: Senior Data Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of … and forecasting libraries using Python Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting Experience with modern ML models … across teams and taking ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class data science team Up to More ❯

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 ❯

deliver best analytical practices. Using data visualisation tools and statistical methodology to generate actionable insights, explore data and to identify trends. Developing new algorithms, leading innovation in AI and deep-learning to address business challenges. Translation of data into insights to inform business decisions. Experience: Demonstratable knowledge and experience in a quantitative field such as mathematics, statistics, data … science or computer science. Experience working with the application of machine learning techniques and working with large data-sets. Experience building reports in Power BI. Continual professional development in the latest developments in Data Science. The shaping and delivery of data strategies. Strong skills in SQL, Python or R for data analysis and model development. Competent user of visualisation More ❯

will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions. This is a unique opportunity to drive forward new ideas and applications, not … statistical skills-comfortable with uncertainty, inference, and experimentation; Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.); Solid experience with deep learning frameworks like PyTorch or TensorFlow; Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code; Familiarity with medical or life science data is More ❯

to join the team. The Role: Analyse behavioural datasets to uncover insights and patterns. Design and train predictive models based on user interactions, decision flows, and sequences. Apply machine learning and deep learning techniques to simulate and anticipate behaviour. Collaborate with the wider AI/ML engineers and team. Develop and implement scalable data pipelines and experimentation … frameworks. Translate business and product questions into data-driven solutions. Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI. What we are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit More ❯

customer experience, and operational efficiency. Manager of AI - Key Responsibilities: Lead the development and execution of the AI strategy and roadmap across ACE Money Transfer. Design and expand machine learning platforms and infrastructure. Build, mentor, and lead AI/ML teams, including MLEs, MLOps, and data engineers. Implement scalable AI solutions for predictions, search, recommendations, and growth initiatives. Establish … related to AI platforms, deployment, and cloud infrastructure. Contribute to product development discussions and provide AI insights for future innovations. What You Bring: Degree in Computer Science, AI, Machine Learning, Data Science, or related field. At least 6 years of experience, with 4+ years in designing and deploying AI/ML models at scale. Expertise in cloud AI services … AWS, Azure, GCP), data platforms, MLOps, and modern DevOps practices. Hands-on knowledge of AI/ML frameworks, deep learning, and deployment processes. Leadership experience in building and managing high-performing AI teams. Proven track record of delivering AI projects with measurable business impact. Knowledge of ethical AI, safe AI, and fairness practices. Experience in agile, DevSecOps, and More ❯

Location: Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £40–56k + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with More ❯

your uniqueness—join us and be your best self! Role Overview The Optimization and ML Product Manager will lead the development and enhancement of AI-powered optimization and machine learning (ML) capabilities. This role requires expertise in mathematical programming (linear and quadratic programming), machine learning models, and solver technologies to create advanced decision-support solutions for enterprise customers. … leadership to drive innovation in AI-driven decision-making, forecasting, and optimization. Your Impact Develop and Refine Product Roadmap: Define and execute the product roadmap for optimization and machine learning capabilities, aligning innovations with business needs and market trends. Collaboration and Stakeholder Management: Partner with data scientists, engineers, designers, and business teams to define product requirements, ensuring solutions provide … and integrate linear and quadratic programming solutions into Anaplan’s platform, working with solvers like Gurobi and other mathematical engines. Your Qualifications Master’s degree in Applied Mathematics, Machine Learning, Computer Science, or related field. Proven experience in product management for optimization and/or ML solutions. Strong track record in developing and deploying advanced analytics and enterprise ML More ❯

based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from NearTech Search Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps Solutions Engineer - Manchester - 1 day a week in office - £45,000 - £65,000 + Share Options I'm working with a well-funded AI firm based … the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Remote working More ❯

either in neurophysiology data or wearable sensor data You will have experience of at least one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics You will have experience in experimental design to collect time series data Evidence of being able to conduct research in … England, United Kingdom 4 weeks ago Vice-Chancellor's Fellowship in Sport, Exercise and Rehabilitation Newcastle, England, United Kingdom 3 weeks ago Research Assistant/Associate in Embedded Machine Learning Systems Newcastle, England, United Kingdom 1 day ago Research Assistant/Associate in Embedded Machine Learning Systems Newcastle, England, United Kingdom 1 day ago We’re unlocking community More ❯

Social network you want to login/join with: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred) Location: Remote (Europe preferred), with occasional travel to the UK if needed About the Opportunity: We’re supporting an ambitious clinical technology company who are building a next-generation AI platform for 3D imaging and diagnostic surgery planning . This is … help shape a platform focused on transforming clinical outcomes through AI-based imaging interpretation . You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases. The Role: You’ll work closely with AI researchers, software engineers, and clinicians to: Build … train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation) Help set up cloud or local GPU infrastructure for model development Collaborate with regulatory and More ❯

Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

evolving football analytics in the professional game i.e. On and Off Ball Value, Scanning Metrics from Pose Data Lead the development and implementation of cutting-edge predictive models, machine learning and deep learning algorithms, and statistical techniques (e.g. Markov chain & Bayesian Inference). Enhanced feature development through biomechanical and physics-based modelling Provide leadership in designing and More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯