13 of 13 Deep Learning Jobs in the East of England

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

deployment of a line. You will work hand in hand with the automation business and tech teams across R&D and manufacturing. You bring deep, hands-on AI/engineering expertise in Physical AI and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring … that matter. What you will gainYou will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve ...

models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. Key Responsibilities This … process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected. Strong AI modeling skills, including model identification: identifying, selecting and calibrating the right model structure from process ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting opportunity … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse ...

metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. … Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Desired Requirements: Demonstrated record of scientific or technical impact through ...

type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Research SciencesCompany: MicrosoftOverviewThe Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.We are seeking a Researcher to develop new theoretical foundations for understanding … modern machine learning models learn, generalize, and behave. The research may address areas such as training and optimization dynamics, feature and representation learning, the role of architecture, and scaling and emergent behaviour, with opportunities to connect theory closely to the team's empirical research. We seek a highly ...

client collaboration, crafted for someone eager to learn fast and contribute to impactful projects. Around six hours per week are protected for apprenticeship learning, applied directly to the work you do with us. Responsibilities: AI & cloud engineering: assist in the design, development and deployment of production generative … calls, demos and project check-ins. Our engineers are customer-facing, so you will learn to communicate technical work clearly to non-technical audiences Learning & development: complete your apprenticeship modules (building with GenAI, optimising business processes with AI, AI security and ethics, deep learning and transformers, testing ...

technologies when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

that actually forecast how a system will behave Hands-on GPU/accelerator code optimisation, CUDA or similar Genuine understanding of how LLMs and deep learning models run on real hardware, training versus inference, matrix multiplication, KV-caching, that level of detail Comfortable in profiling tools like Nsight ...

recent master's graduates with directly relevant coursework will also be considered A genuine, demonstrated grasp of computer architecture fundamentals and how LLMs and deep learning models actually run on hardware, training versus inference, matrix multiplication, KV-caching Real experience building performance models or forecasting tools, Python ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … from the crowd: Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures. LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture. Architecture & Design: Demonstrated understanding in the designing and architecting ...

Factory solutions into the Enterprise. If you can show passion for how technology is driving multifaceted changes in exciting segments like, Artificial Intelligence, Deep Learning, and Cloud acceleration, we'd like to talk with you! We have a real passion for helping customers innovate and realize the full … maintain in-depth knowledge of NVIDIA Go to market strategies, competitors and market landscape both personally and across the team. Engage and develop deep relationships with customers, work with various groups such as account teams, solution architects, marketing, product, and partner sales as well as ISV and Resell partners. ...