1 to 25 of 52 TensorFlow Jobs in the East of England

to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking More ❯

including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable More ❯

re looking for: • PhD (or equivalent experience) in a relevant discipline • Deep knowledge of machine learning and statistical signal processing • Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn • Experience working with time-series, sensor, or RF data • Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of More ❯

re looking for: PhD (or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of More ❯

or related field • 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) • Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas : o Multi-modal data fusion or time series analysis o Uncertainty quantification or probabilistic modelling o Active learning More ❯

bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their More ❯

applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At Insmed, we're committed More ❯

developers. You will have a strong record of securing funding for and delivering innovative R&D. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph More ❯

in machine learning and/or statistical signal processing, particularly applied to time-series or sensor data. Extensive hands-on experience with Python, including key ML libraries such as TensorFlow, PyTorch, and scikit-learn. Proven ability to develop and deliver proof-of-concept systems or demonstrators. Experience leading research or development projects in multi-disciplinary environments. Preferred Expertise in More ❯

postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers More ❯

teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable) o More ❯

or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug More ❯

evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with More ❯

degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication record in international conferences on machine learning and artificial intelligence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

in a relevant discipline Strong background in AI/ML and/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI More ❯

with 4+ years post-PhD experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI More ❯

with 4+ years post-PhD experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI More ❯

with 4+ years post-PhD experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI More ❯

or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands More ❯

post-PhD experience applying AI/ML and/or statistical signal processing to sequential or time-series data Strong Python development skills with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Ability to lead and deliver research programmes independently and in teams Desirable Experience (one or more of the following): RF communications or electronic warfare (EW) Radar More ❯

to defence or government customers • Deep understanding of knowledge graphs, text mining, NLP, and/or graph neural networks • Strong Python development skills and proficiency with ML frameworks (PyTorch, TensorFlow) • Proven experience applying ML to real-world problems and securing R&D funding (e.g. Dstl, EPSRC) • Excellent communication skills with ability to engage technical and non-technical stakeholders Desirable More ❯

4+ years of post-doctoral or industry experience. Proven experience leading R&D teams (5+ people) and securing funding. Strong Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information extraction) Applications of LLMs More ❯

/ML models on GPUs , including transformer and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with AWS cloud infrastructure. Demonstrable track record of applying AI to solve complex biological challenges and translate outputs into biologically meaningful hypotheses. C ompetencies and More ❯

machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯