1 to 25 of 99 Permanent Machine Learning Jobs in the East of England

Machine Learning Engineer, Photos Cambridge, England, United Kingdom Software and Services Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories … learning and deep learning fundamentals Exceptional problem-solving and interpersonal skills Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment Preferred Qualifications Hands on experience with large language models (LLMs) and parameter efficient fine tuning ...

then implementing them into scalable production software, rather than purely research-focused individuals. We are looking for someone with significant commercial experience in AI, machine learning or software engineering environments. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer … from a top university is advantageous Achieved AAA at A Level or international equivalent Proven commercial experience in software engineering, AI engineering, machine learning or closely related areas Strong programming ability with confidence in quickly learning new technologies and languages. While the role currently uses Go, Kotlin ...

validity, analytical rigor, and reproducibility of outputs across the organisation Ensure strong alignment with machine learning, data engineering, and clinical teams Translate ML outputs into trial-ready products: Drive development of data science outputs that support commercial offerings and client value propositions Own the transformation of machine … outputs reinforce Qureight’s scientific credibility Represent the data science function in external scientific and commercial engagement Partner across the organisation: Work closely with ML, data engineering, clinical/translational, product, and commercial teams Align data science outputs with productization and customer needs Act as a key bridge between technical ...

continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using computational photography, optimization methods, statistics, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed … develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the latest developments in computer vision, computational photography, and machine learning, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple's products, specifically ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software … C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability ...

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

looking for a Senior Machine Learning Scientist to join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI‐driven automation for next‐generation Sartorius instruments and lab workflows used by major life science … product teams to translate user needs into robust, production‐grade AI and automation capabilities. Qualifications Master’s or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines. Experience with LLMs (e.g., GPT, LLaMA) and VLMs (e.g., CLIP, Flamingo) applied to perception, workflow guidance ...

proactive and inquisitive approach Experience in the following would be beneficial: Working with hardware or developing software to control hardware devices Computer networking Machine learning, statistics, optimisation, or algorithm development Deep learning frameworks such as TensorFlow or PyTorch Mobile application development for iOS and/or Android … quality solutions Analysing and solving complex technical problems across software and system-level challenges Supporting integration between software and hardware components where required Continuously learning and applying new tools, technologies, and methodologies What the role offers: The opportunity to join a rapidly growing and highly innovative start-up Exposure ...

scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company … limitations and deployment suitability Working closely with hardware and engineering teams on sensor integration Collaborating with data scientists to interpret sensor outputs and improve ML models Helping turn early-stage concepts into scalable commercial products Supporting the development of the company's growing sensing and AI platform Influencing future hiring ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

span across different disciplines and technologies to perform real‐time, multi‐objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except ...

experience of at least one server-side language. Expertise in cloud native architectures. Expertise in data pipelines and event-driven architectures preferred. Expertise in machine learning and machine learning pipelines preferred. Solid foundation in secure coding practices. Solid understanding of client-side technology (CSS/HTML ...

Apple Inc. is seeking an experienced Machine Learning Engineer in Cambridge, England, to create innovative features for the Photos app. The role involves working on machine … learning and AI algorithms and requires strong collaboration and problem-solving skills. The ideal candidate will have a proven track record in building ML applications and familiarity with deep learning toolkits like PyTorch. Apple values diversity and accessibility in its workforce, ensuring equal opportunities for all. #J ...

Machine Learning and Artificial Intelligence, key technologies for the future of computing. Arm is everywhere technology matters. Are you passionate about ML systems and keen to shape how AI runs efficiently on next generation accelerator designs? Then we should talk! We are expanding multiple teams across our ML … contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI! Responsibilities: You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework ...

Engineer Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align … engineering work with research objectives and project goals Requirements: MSc in Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs ...

upskill, coordinate/standardise the production of reports, contribute to the statistical oversight and data efficacy boards, explore new opportunities for the application of machine learning and advanced statistical methodologies to health data and support the development of the DSA team. The focus of your work will … experience: Experience working with health data including clinical data registries Experience working with unclean data and free text An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety Experience using Snowflake/DBT Prompt Engineering for Github ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

doing as a Graduate in our team? As a hardware design engineer, you’ll join a growing, highly skilled, and supportive team developing Machine Learning accelerators. Collaborating with colleagues across our international design centres, you’ll contribute to the design and verification of Arm’s next-generation ...

good software engineering processes (version control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this … dynamic company as they begin their growth and be compensated with an excellent remuneration package. Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD/Post-Doc, Start-Up Another top job from ECM, the high-tech recruitment experts. Even if this ...

testing methodologies Guide sensor selection and performance evaluation Collaborate with engineering teams on sensor integration Work with data scientists to improve sensor interpretation and ML models Support the development of new sensing products and applications Influence future technical direction and team growth About You We're looking for a scientifically … into real-world products. Relevant backgrounds may include: Gas, chemical or VOC sensing Sensor fusion and embedded sensing systems Analytical chemistry or chemical ecology Machine learning for sensor systems Scientific R&D leadership Experience working with multidisciplinary engineering teams and commercialising sensing technologies is highly desirable. The company ...