51 to 75 of 90 TensorFlow Jobs in the East of England

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 ❯

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 ❯

Present findings to technical and non-technical stakeholders What You'll Need: PhD with 4+ years post-PhD experience Strong Python programming skills Experience with ML frameworks (e.g. PyTorch, TensorFlow) Proven track record in team leadership and proposal writing Expertise in NLP, LLMs, knowledge graphs, or graph ML Desirable Skills: Tools: PyTorch-Geometric, PyKeen, Neo4j Languages: SQL, Cypher Familiarity More ❯

Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindset Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This is a unique opportunity to influence high-impact innovation in a multi-disciplinary, research-driven environment. Reference: AMC 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 ❯

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 ❯

in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note More ❯

in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note More ❯

in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note More ❯

in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus. Why More ❯

of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature More ❯

or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit-learn) Experience with proposal writing (e.g. Dstl, NS, EPSRC) Prior involvement in engineering assurance, technical review, or QA of R&D outputs Security & Eligibility Due to the sensitive More ❯

BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience. 5+ years of relevant experience. Solid practical experience of: Languages: Python, C/C++, OpenCL, CUDA ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx Linux Environment Task and Data parallel/concurrent systems AI Network optimisations: quantization, compression (pruning etc.) Experience developing and delivering on projects using best industry More ❯

CS/EE or related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) Experience with distributed More ❯

background in AI/ML or statistical signal processing applied to time-series data and decision-making Proficient in Python for prototyping Hands-on experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn Offer: Up to £70k base salary 10% bonus Hybrid Great Baddow Active SC If this role is of interest, please get in touch More ❯

background in AI/ML or statistical signal processing applied to time-series data and decision-making Proficient in Python for prototyping Hands-on experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn Offer: Up to £70k base salary 10% bonus Hybrid Great Baddow Active SC If this role is of interest, please get in touch! TPBN1_UKTJ More ❯

background in AI/ML or statistical signal processing applied to time-series data and decision-making Proficient in Python for prototyping Hands-on experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn Offer: Up to £70k base salary 10% bonus Hybrid Great Baddow Active SC If this role is of interest, please get in touch! JBRP1_UKTJ More ❯

background in AI/ML or statistical signal processing applied to time-series data and decision-making Proficient in Python for prototyping Hands-on experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn Offer: Up to £70k base salary 10% bonus Hybrid Great Baddow Active SC If this role is of interest, please get in touch! JBRP1_UKTJ More ❯

with a minimum of 4 years' postdoctoral or commercial experience Expertise in NLP, LLMs, graph machine learning, or semantic reasoning Proficient in Python and familiar with frameworks such as TensorFlow or PyTorch Experience leading technical teams and securing external R&D funding Benefits 10% annual bonus Hybrid working model with flexibility (minimum 2 days onsite) Access to high-impact More ❯

industry experience) in a relevant discipline. Extensive post-doctoral experience applying AI/ML to time-series or sequential data. Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, or scikit-learn. Proven ability to communicate complex results to technical and non-technical audiences. Desirable: experience in areas such as radar, EW, RF, sensor fusion, autonomy, or signal More ❯

in AI/ML or statistical signal processing • 4+ years post-PhD experience applying ML to sequential or sensor data • Strong Python development skills and fluency with ML libraries (TensorFlow, PyTorch, scikit-learn) • Expertise in time-series analysis, signal processing, or intelligent decision-making • Experience leading project teams and delivering R&D for defence, aerospace, or intelligence domains Desirable More ❯

Science or relevant experience in industry (PhD would be a plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Familiarity with Cybersecurity: TARA, Attack Trees, HSM architectures. Exposure and familiarity with Reliability technologies, methodologies, and standards applied to SoCs, i.e. RAS, Predictive Maintenance, BFR, HTOL, HAST More ❯

in embedded systems , robotics software, or unmanned systems development (including RL and synthetic data generation). Experience with real-time systems . Experience with computer vision frameworks (OpenCV, YOLO, tensorflow, pytorch, etc.) What will set you apart Multi-agent systems experience Experience with real-time systems or robotics middleware Familiarity with sensor integration and perception algorithms Understanding of safety More ❯

to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0 (Plus!). Exposure and familiarity with Reliability methodologies. Knowledge of More ❯