1 to 25 of 34 TensorFlow Jobs in Essex

work experience in scientific/academic environment (RA/Internships are considered as work experience) Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow, and PyTorch. Knowledge of software development good practices and collaboration tools, including git-based version control, python package management, and code reviews. Excellent communication skills, with the ability to More ❯

Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep More ❯

Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep More ❯

/or statistical signal processing to sequential data and decision-making post-PhD. Experience in Python software development for proof of concept. Familiarity with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Preferred experience includes RF communications, Electronic or Electromagnetic Warfare, data fusion, radar or sonar signal processing, distributed sensing, autonomy, human-machine teaming, space-domain awareness More ❯

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 ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the 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 ❯

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 ❯

Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals to internal and external stakeholders Collaborate with top UK 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 ❯

across defence, space, and security sectors What we’re looking for: • 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 ❯

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 ❯

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 ❯

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 ❯

to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals , including supervised/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering 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 ❯

funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning More ❯

R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query languages More ❯