51 to 75 of 155 Machine Learning Jobs in Cambridgeshire

TypeScript, JavaScript, HTML5, CSS and Tailwind. Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. Collaborate with Product, AI/ML/Data Engineering, IT/Infrastructure and Business teams to translate requirements into effective software solutions. Design and develop application features that incorporate AI/… ML capabilities. Integrate AI services and machine learning models into production applications through APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment ...

advertising systems connect advertisers to that audience at scale.What is the role You’ll join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning … from idea through to serving at scale, working in Spark, Python, and Java. You’ll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored).How will I use AI at Roku At Roku, we don’t just use AI, we work with ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

matrixed environment. Experience preparing written scientific reports and delivering oral presentations. PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological ...

environment. Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied ...

environment. Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied ...

matrixed environment. Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.Software Engineering,Computational Biology,Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied ...

Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience ...

Search is hiring exceptional Machine Learning Engineers and Researchers to join its first ML team. The role focuses on C++ based ML development, strong statistics, and mathematical foundations, with 5+ years of experience requested in the posting. You will work directly with a visionary founder to build core ...

Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data … reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms) Pilot new technologies (agentic AI, ML-driven quality assurance) at scale Team Leadership & Cross-Domain Coordination Recruit, mentor, and scale a 12–15 person ...

document processing solutions. Exploration and Deployment of AI Opportunities Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive … improvement You’ll receive: United Kingdom : Competitive salary, Annual bonus, Pension scheme, Health insurance, 24 days annual leave, Flexible working arrangements, Employee recognition scheme, learning and development opportunities. Netherlands: We offer temporary employment for 1 year with probation period with flexible working, learning and development opportunities. We offer ...

JOBS247 INC LTD in Cambridge, United Kingdom, is seeking a Senior Machine Learning Engineer for AdTech. The role emphasizes proven production ML experience (6+ years) and advanced knowledge in statistics and experimental design. The position supports a hybrid work model with remote Fridays option, and requires strong skills ...

functional teams on quality initiativesSome working knowledge of C++Leadership experience mentoring engineers and driving organizational change in testing practicesCertifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation)#LI-AB3What's Roku's approach to hybrid working Roku ...

/layout optimizations tailored to spatial processors.Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues.What we need to see:MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience … stand out from the crowd:Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.Demonstrated research impact, such as publications or presentations at conferences like PLDI ...

organisation is growing its technical team and offers structured mentorship from senior scientists and engineers. What the job involves The role centres on applying machine learning to unusual, real-world problems, often without an existing playbook to follow. You'll combine off-the-shelf tools with custom-built … similar) Some evidence of research capability, from postgraduate study, personal projects, or applied experience Confident Python developer, comfortable with at least one common ML framework Broad exposure to different ML approaches, or a track record of picking up new areas quickly A rigorous, analytical mindset with genuine curiosity about ...

premises HPC cluster ( Bright Computing/SLURM ). Optimise job scheduling and resource allocation across mixed CPU and GPU nodes for computational chemistry and ML applications. DevOps & Container Orchestration: Lead the expansion of our Docker Swarm cluster. Manage the internal GitLab instance and architect robust CI/CD pipelines … Familiarity with the data requirements and software used in Computational Chemistry, NMR, or X-ray crystallography . GPU Optimisation: Experience configuring GPU resources for Machine Learning (PyTorch/TensorFlow) and molecular dynamics. Cloud Proficiency: Practical experience with AWS, Azure, or GCP, specifically regarding hybrid workloads or cloud migration. ...

skills.Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices.Understanding of machine learning fundamentals, including model behavior, evaluation and testing.Demonstrated ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability ...

based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things ...

make AI software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate Staff ML Engineer to help us build our expertise in ML tooling and deliver the next generation of developer experiences for Arm.The ideal candidate will combine strong software … engineering skills with deep practical experience of ML model optimisation and deployment. You will help make sophisticated ML optimisation techniques accessible to developers by building tools that analyse, optimize, and prepare models for efficient execution on Arm-based platforms.You will work across developer tools, ML frameworks and emerging Arm hardware ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value — agents that use tools, orchestrate multi‐step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on Fluency with ...

with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop ...

development performance management. Hands-on experience with BI tools or modern analytics platforms (for example Power BI, Tableau or Spotfire). Exposure to AI, machine learning, or predictive analytics applied to operational decision-making. A track record of scaling digital products across complex, matrixed organizations . Demonstrated commitment ...

level programming (e.g. C/C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management ...

grade solutions that unite strategy, data, and technology and foster a culture of excellence and innovation. Translate major technologies transforming life sciences—AI/ML, digital health, RWE platforms, data interoperability, next‐gen commercial architectures—into meaningful strategic implications for clients. Client Partnership, Trust & Growth Act as a trusted strategic ...

organisational change in testing practices Experience as a project QA or development lead, or in a similar capacity Certifications or training in AI/ML or AI-driven testing approaches What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...