1 to 25 of 54 Remote Machine Learning Jobs in Cambridgeshire

automated security scanning. Spot vulnerabilities early and address them head-on. Collaborate with DevOps to ensure infrastructure is resilient and ready to scale as needs grow. Apply AI/ML techniques where they unlock real value—accelerating prototyping, informing decisions, or streamlining developer workflows. Stay curious about emerging tools and technologies. Evaluate new promising approaches and back them with smart … scalable cloud services. Contributions to open-source scientific-computing projects. Familiarity with distributed computing, scalable cloud services on cloud, or serverless architectures. Certifications in cloud security or AI/ML engineering. Key Competencies Technical Mastery & Architectural Insight – You write clean, modern code that performs well and stands the test of time. You design systems that are scalable, secure, and easy More ❯

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 … deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

Define frameworks and standards aligned with industry standards (NIST, MITRE ATT&CK) and semiconductor-specific regulatory requirements including export control and SoX compliance. Drive innovation by utilising AI and machine learning technologies to enhance threat detection, incident response, and overall cyber defense posture. Partner with senior leadership to communicate security architecture roadmaps, risk mitigation strategies, and compliance postures. … Have" Skills and Experience: Bachelor's or advanced degree in Computer Science, Cybersecurity or related technical subject area. Relevant security certifications (CISSP, CISM, CCSP) and familiarity with AI/ML applications in security preferred. In Return: A high trust environment with the autonomy to build and shape a world-class critical capability for the organisation. You'll be valued as More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent 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 Machine Learning Research Engineer, you will play a pivotal … Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent 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 Machine Learning Research Engineer, you will play a pivotal … Optimise and modularise models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritise, and manage own tasks aligned with business objectives. We are also looking More ❯

AI Center-Cambridge, our Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that … balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs). Position Summary At the Samsung AI Center-Cambridge, our … Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial More ❯

to apply up to 2 years from the date of receiving their PhD (i.e. PhD degrees must have been awarded May 2023 or later). Experience in AI/ML and scientific programming (preference for python) Familiarity with one or several of the following data modalities: human genetics, gene expression, proteomics Familiarity with the biology of neurodegenerative diseases is a … Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

home Travel 0-25 % Role type Profession Research, Applied, & Data Sciences Research Sciences Employment type Full-Time Overview We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. … large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe. The field of machine learning has evolved significantly in recent years, with many of … the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork. We are seeking a highly motivated and experienced Sr RSDE with expertise in machine More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

Junior Machine Learning Research Engineer Salary: £40,000-£52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research … of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine … machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside More ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering challenges. … workflows, from interactive agents to intelligent automation tools. Architect, implement, and maintain scalable LLM systems suitable for large-scale, multi-user environments. Build production ready, high quality AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost … Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and optimising LLM + ML driven applications. Proficiency in Python and common ML/AI libraries; comfortable with full-stack system design from prototyping to production deployment. Familiarity with one or more LLM stacks (OpenAI More ❯

devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and … product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of … Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs More ❯

to Mid-Level) Location: Cambridge, UK (Hybrid) Salary: £30,000 - £50,000 (depending on experience) Recent Graduates to Mid-Level Developers Welcome! The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on … Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before … engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer. Relevant Keywords: Graduate Software Engineer, Mid-Level Developer, Python, Java, Node.js, AI, Machine Learning, SDLC, Application Development, Cambridge Tech Jobs, Software Engineering Careers More ❯

at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will … with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent … on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein-ligand interaction modeling and co-folding applications. Develop AI approaches integrating structural and chemical data to enhance virtual screening and molecular design. … or equivalent 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 More ❯

change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks relating to data use. Passion for people … data, technology, and enabling better outcomes for our community and the business. Collaborative approach and a passion for innovation, learning, and impact. Excellent communication skills with the ability to influence senior leadership. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

to develop system architectures and influence industry-leading IP that underpin each solution. This diverse role will largely focus on providing software enablement for our next generation CPU and ML accelerator based technologies on target LLM (Large Language Model) use-cases. Typical activities would include application and system analysis, technology research, hands-on software prototyping to understand how software and … programming Proficiency in problem solving and debugging skills Practical, organized and analytical approach to work Good oral and written English skills "Nice To Have" Skills and Experience : Experience with ML software frameworks (e.g. PyTorch) Familiarity with ML hardware accelerators (e.g. NPUs, TPUs, GPUs with CUDA support) Knowledge of optimising and profiling software Experience with assembly programming Software development and integration 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 ❯

Unit testing (xUnit), automation testing, Selenium CI/CD workflows (Bitbucket, feature branching), Jira Experience with asynchronous processing or message-based systems Familiarity with cryptographic or perceptual hashing, or machine learning Working Model: Remote-first, with in-person workshops in Cambridge approx. every 6-8 weeks More ❯