25 of 25 Deep Learning Jobs in the Midlands

Description Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist (Model Developer)/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways ...

predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform. … real-world drug discovery applications. Your Role & Responsibilities Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions. Take part in cutting-edge ...

predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform. … real-world drug discovery applications. Your Role & Responsibilities Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions. Take part in cutting-edge ...

Kernel Engineer position. You will make a significant impact on the business by owning the design and implementation of novel AI Kernels for deep learning operations. You will optimise hardware accelerators in collaboration with deep learning researchers, translating their high-level models into low-level, high … development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full details are available. Please ...

Kernel Engineer position. You will make a significant impact on the business by owning the design and implementation of novel AI Kernels for deep learning operations. You will optimise hardware accelerators in collaboration with deep learning researchers, translating their high-level models into low-level, high … development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full details are available. Please ...

information provided by the products. Data science underpins all of this. You will be key in developing advanced solutions within data science and machine learning, using your experience of managing others to get the most out of your new team. You’ll inspire them to push boundaries and innovate … Python, SQL and R, in an AWS Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ...

Design and develop advanced artificial intelligence solutions leveraging deep learning, machine learning, and intelligent automation technologies. Analyze complex business challenges and translate them into innovative AI-driven solutions that deliver measurable business value. Utilize advanced AI platforms and tools to create intelligent systems for prediction, classification, recommendation … decision support. Design, evaluate, and optimize deep learning architectures for applications such as computer vision, natural language processing, and speech analytics. Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable and effective AI solutions. Guide the selection of appropriate AI models, frameworks, datasets, and deployment ...

Devitechs in Birmingham is looking for a skilled AI developer to design and implement innovative solutions using deep learning and machine learning technologies. You will analyze complex business issues and collaborate with teams to enhance operational efficiency through AI-driven automation. The ideal candidate will have expertise ...

lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance … user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute ...

lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance … user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute ...

nature is valued in real-world decision-making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning … Must-have requirements: Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling : rasterio, xarray, geopandas, GDAL ...

nature is valued in real-world decision-making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning … Must-have requirements: Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling : rasterio, xarray, geopandas, GDAL ...

looking for a professional to define and shape AI solutions, focusing on applications like image recognition and speech analysis. The role involves guiding deep learning approaches and collaborating with teams to translate business needs into effective AI solutions. The ideal candidate will lead the adoption of AI best ...

that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower … APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

from the team ✨ ⭐ About Ops Data: Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart … work with our customers’ problems - delivering award winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ...

from the team ✨ ⭐ About Ops Data: Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart … work with our customers’ problems - delivering award winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ...

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially ...

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially ...

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially ...

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

United Kingdom, Nottingham, Nottinghamshire Data Scientist/Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make … business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. ...

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. • Proficiency in programming languages such as Python is added advantage. • Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. • Experience working ...

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. • Proficiency in programming languages such as Python is added advantage. • Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. • Experience working ...

cases such as image recognition, speech analysis, and natural language understanding, aligning with business goals. Guide the selection and application of advanced deep learning approaches including CNNs, Transformers, GANs, and other modern architectures. Oversee model training strategies, including dataset selection, augmentation approaches, and performance optimization techniques. Collaborate with ...

product managers, data engineers, analysts, and business stakeholders to translate requirements into robust AI solutions. Main responsibilities Design, develop, and deploy AI and machine learning models to solve business problems and deliver measurable value. Test and select modelling approaches balancing performance, interpretability, and operational fit; tune/retrain models … needed. Build and maintain scalable ML pipelines and infrastructure for classical ML and deep learning. Deploy models to production using containerisation, CI/CD, and MLOps toolsets; manage ongoing configuration and administration. Develop LLM-based tools using prompt engineering, retrieval, and embedding pipelines for knowledge retrieval and workflow assistance. ...