14 of 14 Machine Learning Engineer Jobs in Cambridgeshire

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: • 1x Permanent, Full Time (35 hours per week) • 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a … world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the … Role As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: • Technical lead in designing full More ❯

employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on … originality, rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet … ambitious research and development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern More ❯

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production … groups of engineers to achieve ambitious goals; you will work on complex R&D projects, and guide others by defining research milestones and collaborating together. Raise the bar for machine learning at Speechmatics, by applying your innovative ideas and experiences to improve the efficiency, effectiveness, and best practices across all of our machine learning teams. Set More ❯

Spearheading the integration of machine learning into cutting-edge electronics This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be … here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they … working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and More ❯

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and … a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into … serving. What you'll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively More ❯

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. … You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore's technology. We seek … If you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make … hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C More ❯

a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We design and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation … performance analysis, and enablement of advanced workloads targeting machine learning use cases. Responsibilities: We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists. You will play a critical role in enabling and validating software stacks on pre-silicon platforms-including simulators, emulators, and … prototypes-to ensure the seamless deployment of high-performance solutions when silicon arrives.This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments. You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions. You will be responsible for building proof More ❯

The Central Technology Team within Arm develops key technologies which will form the foundation of future products. You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs. Job Overview: You will be working on a team … that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked by the software teams. Responsibilities: Develop tools that expose proposed hardware features and evaluate the resulting performance. … of computer architecture. Good written and verbal communication skills. Experience developing software interfaces on large projects. Ability to understand accelerator designs. "Nice To Have" Skills and Experience : Familiarity with Machine Learning frameworks. Experience working with architects and modellers to test proposed features. Understanding of memory systems and hierarchy. In Return: You will join an established and experienced team More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm … experience in developing performance critical kernel on dedicated accelerator, GPU or CPU Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques Overall high-level knowledge of computer architecture, systems, and HW-SW co-design Ability to develop … and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization, and HW-SW co-development methodology ML Model More ❯

to the environments developers prefer, which enable them to unlock the full potential of our architecture. We are looking for software engineers who are passionate about empowering developers delivering machine learning experiences on Arm. Our team looks holistically at developer challenges, delivering tools that support model selection, training, profiling, deployment, hardware configuration, and visualisation. This is a unique … willingness to learn is more important, and we actively support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd). • Linux: Embedded Linux and … origin, disability, or status as a protected veteran. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constrains? As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, basic knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. … in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational chemistry. Experience in real-world drug discovery. Proficiency with additional programming languages. Microsoft is an equal opportunity employer. All qualified applicants will receive More ❯

more about the Chin lab achievements here: We recently secured $58 million Series A fundraising. Read more here: What we're looking for: We are looking for an ML engineer to turn prototypes into functional systems. You will build and maintain our codebase, scale training pipelines, and align model with in-house data to develop state-of-the-art … ll teach you the rest Collaborative team player with excellent communication skills Desirable skills: Domain experience in computational biology, particularly genomic language models. Publications or open-source contributions in machine learning or bioinformatics. What's in it for you? Why work at Constructive Bio? We are a small but rapidly growing team, with a vision to become the More ❯