1 to 25 of 186 Machine Learning Jobs in Cambridge

RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/ More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

how to leverage LLMs, neural networks, and emerging AI technologies to solve complex application testing and deployment challenges. Key job responsibilities Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms Architect next-generation test infrastructure that combines traditional CI/CD … distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering scenarios, and predictive system reliability testing Design self-healing test systems that use machine learning to adapt to application changes, automatically … maintain test suites, and provide AI-driven insights into test coverage Drive adoption of AI-augmented testing practices across teams, focusing on the integration of intelligent automation tools and ML-based testing approaches in our development workflow A day in the life As a Senior Test Innovation Engineer, you'll lead the evolution of our next-generation automation platform while More ❯

Job ID: 2916032 | AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business … capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand … scientist experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics More ❯

role will be a key differentiator of a successful candidate. Glass ceiling smashers especially welcome. We are looking for a Director of AI Engineering to lead our AI and ML development. The role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on the design of complex AI agents, communication architectures … to deployment. Fine tune LLM. Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice. Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle. Deliver … that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their More ❯

Senior AI Engineer IQVIA NLP Cambridge, UK We are looking for a Senior AI Engineer to lead the development of advanced machine learning solutions that address complex challenges in the pharmaceutical and healthcare sectors. In this role, you will drive the transformation of cutting-edge research into scalable, production-grade AI systems. You'll work across the full … solutions that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to enhance model performance. Validate and test … UK visa sponsorship. The Team IQVIA NLP is a leading provider of Natural Language Processing solutions focussed on Human Data Science. NLP is a foundational technique for AI and ML and a critical enabler for IQVIA's Connected Intelligence solutions and the delivery of clinical trials and studies. IQVIA NLP is an acknowledged leader in this space with a global More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine-learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

Computer Science, Information Systems, or related field Evidence of continuous professional development Substantial evidence of specialist knowledge and ongoing education relevant to data engineering, data science and AI/ML Professional certifications in data architecture such as TOGAF, DAMA or equivalent Experience Experience in designing and managing enterprise data architectures in a complex organization Proven track record in leading and … calls Experience of working in or with health-tech small or medium-sized enterprises NHS experience in a senior analytical, data engineering, data science and/or AI/ML role in the NHS Knowledge Knowledge of cloud environments and architectures Extensive up-to-date knowledge of best practices in software development, data engineering, ETL and data science Knowledge of … and its impact on data Extensive knowledge of data protection and GDPR Understanding of Cybersecurity and common issues Extensive knowledge of using data science and AI techniques such as ML, simulation modelling, causal impact analysis, network analysis, NLP Knowledge of health technology Knowledge of NHS operations, policies, governance and organisational structures Skills Confidence and skilled in adapting to new software More ❯

. Expertise in Kubernetes deployment, Helm, ArgoCD, and Rancher. Knowledge of service meshes like Istio Gateway. Experience deploying SaaS solutions and relational databases like PostgreSQL. Experience with MLOps, deploying ML/data analytics infrastructure. Experience with release management processes. This job posting is active and accepting applications. #J-18808-Ljbffr More ❯

Job Requisition ID # 25WD89838 Position Overview As a Principal Software Engineer at Autodesk Research, you will work on new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You will collaborate with a talented team of scientists, research engineers … and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of research and product. You will report to: Manager, Autodesk Research, Generative AI. Location: London … Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on More ❯

experience in the technical development, deployment, and operation of AI solutions. Understanding of AI models. Experience with cloud and AI services from AWS, GCP, and Azure. Experience with automated ML frameworks and UI development. Familiarity with Kubernetes, Terraform, Spark, TensorFlow, PyTorch. Familiarity with configuring GitLab CI pipelines. Familiarity with data structures, data platforms, and data integration. Attention to detail and … Familiarity with software security concepts. If you would like to be a part of a collaborative team in a fast-paced, growing business with a focus on Data Science, Machine Learning, AI, and Bioinformatics, and the vision to become the most influential company and best-loved brand in life sciences, we encourage you to apply! Additional Information We More ❯

functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up-to-date with the latest advancements in NLP and machine learning research, you will proactively integrate new techniques into existing workflows. Additional responsibilities include mentorship and leadership, successful deliverables, and project and community leadership. Essential Skills/Experience … Advanced Academic Credentials: PhD or equivalent experience in Machine Learning/NLP. - Senior Industry Experience: Extensive industry experience, particularly in senior or leadership roles, demonstrating a robust understanding of NLP challenges and solutions. - Proficiency in Python: Advanced knowledge of Python - Advanced Problem-Solving Skills: Exceptional problem-solving abilities in the area of machine learning and NLP. More ❯

the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data. About the Role: We are looking for an ML Engineer to develop our AI/ML infrastructure. This is an opportunity to join a company actively working with the majority of the world's major pharmaceutical companies on projects … models for the processing of large volumes of text-based data Developing/supporting interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents … tested and well documented modular code Understanding of Agile software development process and software management/deployment tools such as pip, git, docker, Terraform, AWS etc. A passion for learning and applying new technologies Additionally, any experience in the following would be advantageous: Experience of designing or using RESTful web services Understanding and experience of deploying code in containers More ❯

from home. About the AI Architect role: We are seeking an experienced and hands on AI Architect. This pivotal role involves the Design and Development of our AI/ML platform architecture, serving as the Subject matter expert for the AI Field. This position requires deep knowledge on Cloud AI Platforms, and excellent communication and presentation skills. As an important … AWS) and LLMs to enable seamless evolution and standardized utilization of the AI and Machine Learning by organization. Demonstrated expertise in managing complex Data/AI/ML Architecture and delivering results in a fast-paced environment. Experience on creating RAG systems and to build applications using flow and agents based on LLMs. Experience with MLOps and DevOps … stores for real time low latency applications, Generative AI Cloud Frameworks and Prompt/Flow/Agent Engineering. Stay abreast of emerging trends and technologies in the AI and ML space to proactively implement improvements, suggest innovative ways and ensuring it remains at the forefront of innovation in this dynamic field. Excellent communication skills, capable of translating complex AI concepts More ❯

FIND | Creating Futures Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

and Jerry.ai is getting mentioned in many conversations about about our use of GenAI, such as this Forbes article Be immersed in a talent-dense environment, greatly accelerate your learning and career growth About the opportunity At Jerry.ai, we've redefined car ownership through our innovative digital solutions. Now, we're expanding our horizons with Propelix, our exciting new … conversation flows and responses Help shape the future of Propelix as a leading SaaS solution in the conversational AI space Support junior engineers and foster a culture of continuous learning Requirements 6+ years of full-time software development experience with a bachelor's degree or higher in computer science or engineering Knowledge of multiple programming (we primarily use JavaScript … app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI More ❯

and forward-thinking team where your work will have a direct impact on shaping a modern, cloud-native compute platform. We offer a flexible work environment, opportunities for continuous learning, and the chance to solve complex technical challenges at scale. You'll be supported by experienced colleagues and empowered to grow both technically and professionally. Competitive compensation and benefits … Developer – Angular/Typescript - Cambridge Croydon, England, United Kingdom 3 months ago Cambridge, England, United Kingdom 1 month ago Cambridge, England, United Kingdom 22 hours ago Senior Software Engineer - Machine Learning Tools Cambridge, England, United Kingdom 2 days ago Cambridge, England, United Kingdom 5 months ago We’re unlocking community knowledge in a new way. Experts add insights More ❯

you’d love to work in, even if you only have some of the experience listed below, please apply. The Role Lila Sciences is seeking experienced, creative, and talented Machine Learning Engineers across Engineer, Senior Engineer, and Principal Engineer levels to join our team. Title will be determined by merit and experience level. Join our agile team to … infrastructure to train and fine-tune cutting-edge models on scientific data. Collaborate with experts across biology, materials science, and automation to push boundaries. We’re looking for an ML pro skilled in large-scale generative models, data pipelines, and software engineering excellence. Ready to transform science? Let’s talk! Candidates should have experience and/or interest in: Designing … including domain adaptation and retrieval-augmented generation (RAG) as part of an agentic framework. Implementing robust evaluation frameworks, including custom benchmarks, to rigorously test model performance and reliability. Integrating ML solutions into production environments. Qualifications: Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background More ❯

an environment you’d love to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust … data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model … Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred) Strong skills with Scripting languages More ❯

sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. Responsibilities Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance Implement best practices and innovate methods for uncertainty quantification Combine datasets of multiple fidelities and sources to … real time Work with the experimental team to drive material discovery and development, and build domain-specific acquisition functions. Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, and developing relationships with key opinion leaders Report findings to stakeholders and leadership in written reports and verbal presentations. Qualifications Experience with uncertainty quantification, active learning … and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets. Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and More ❯

Delivery Consultant (AI/ML), Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven 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 ❯

Cadence organization. Drive best practices in software development, including code reviews, testing methodologies, and technical documentation. Stay at the forefront of industry trends and emerging technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Proven ability to lead technical teams and manage complex projects. Excellent problem-solving skills and analytical thinking. Outstanding communication and interpersonal More ❯

About Us As part of the CUP&A family, we operate Machine Learning (AI) research from the Cambridge University Institute for Automated Language Teaching and Assessment (ALTA) to provide automated assessment capabilities (automarking and automated feedback) for extended English learner text and speech.ALTA is a virtual institute which investigates new ways of using technology to enhance language learning … develop cutting-edge approaches to assessment and feedback which will benefit English learners and teachers worldwide. These capabilities can be accessed through ELiT's APIs by CUP&A’s learning and assessment products. We are a remote, agile team consisting of 24 software engineers and an engineering manager, a senior data scientist, a product owner, a technical architect, and … a data annotation and EFL product specialist. We build and maintain ground-breaking English Language Learning applications that are used by hundreds of thousands of learners and teachers worldwide, and our automated language assessment technology delivers exam results to candidates without delay. Our innovative annotation tool is used to enrich learner data and improve the performance of our machine More ❯