1 to 25 of 44 Machine Learning Jobs in Cambridge

Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions … cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data ...

problems in healthcare and biomedical discovery. As an intern within our team, you will have the opportunity to: Deepen your expertise in multimodal deep learning and contribute to our ambitious research agenda Conduct experimentation with world-class computational resources Learn in a team with a strong culture of collaboration … rigorous research Responsibilities The ideal candidate will have strong intellectual curiosity and passion to solve real-world problems in healthcare using machine learning. Responsibilities will include: Co-development of an internship project in collaboration with the supervisor Design, implementation and evaluation of new machine learning methods ...

comparability to reference samples. Talent Vetting & Output Improvement Participate in vetting and assessing technical contractor talent for specific projects, including code review tests and ML task evaluations. Review sample work from contractors and provide precise, actionable written feedback to improve outputs. Create targeted training or calibration resources — e.g., best practices … code, hyperparameter tuning guidelines, dataset preparation standards. Project Delivery Support Advise on technical scoping and requirements during project setup, including choice of programming languages, ML frameworks, and data preprocessing pipelines. Provide expert guidance for edge cases, technical exceptions, and specification changes during the project lifecycle. Contribute to post-project reviews ...

Learning Engineer Location: Remote We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact … structured tasks with measurable outcomes. What You'll Do Draft detailed natural-language plans and code implementations for ML tasks Convert novel ML problems into agent-executable tasks for RL environments Identify failure modes and apply golden patches to LLM-generated trajectories What You'll Bring 0–2 years ...

image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing … machine learning techniques. You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python skills to advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience. You will bring: A relevant ...

rapid expansion Opportunity to shape the future of AI solutions in a high-growth environment What you will do: Research, design, and implement advanced machine learning algorithms and models Develop and optimize AI pipelines for data processing, training, and inference Collaborate with cross-functional teams to integrate … Proven experience in machine learning, deep learning, and natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this job speak to Jack ...

when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

Responsibilities Design and develop innovative software solutions in collaboration with the engineering team Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development Oversee and maintain operational company systems (Linux-based) Contribute across a broad mix of R&D, software, data science … experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud) Academic or project experience in ML, data science, or digital signal processing Enthusiasm for working in a startup environment and taking ownership of initiatives What’s on Offer Entry-level role ...

publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here … latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice. ...

solution quality and clarity Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications Strong experience as a backend software engineer, machine learning engineer, or applied data scientist Degree in Software Engineering, Computer Science, or related field Strong proficiency in Go programming language Experience with debugging ...

internationally make healthcare more transparent and efficient.You’ll be part of a small, agile team where your work will have real impact and where learning and growth are built into the culture. Whether it’s expanding your technical toolkit or getting closer to the business side of data, this … data workflows and infrastructure What You’ll Bring Solid Python and SQL skills Clear verbal and written communication A genuine interest in AI, LLMs, machine learning, and deep learning — if you’ve worked with them, great; if not, you’ll be supported to learn This is more ...

define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and interns … experience one or more of the following: o Data structures implementation o Basic algorithm development o Object-oriented design principles Experience with AI/ML technologies Preferred Qualifications Experience in GenAI and Agent service development using LLM/VLM. Previous technical internship(s) or demonstrated project experience Experience with ...

Champion of infrastructure-as-code, GitOps, and continuous integration standards. AI & Analytics Enablement Partner with AI and analytics teams to operationalize data pipelines supporting ML model training and inference. Deep understanding of how data engineering architecture impacts model performance and explainability. Essential Traits 12+ years of progressive experience in data ...

process by bridging the gap between technical teams and non-technical salespeople. The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process This role … deployment Cloud & Hyperscalers – Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding ...

ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate … collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. Training Ongoing employment and career progression. Apprenticeship Standard Data analyst (level 4) Training Provider DIGITAL NATIVE (UK) LIMITED Working Week Monday ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

running enablement and training programs. A solid understanding of Microsoft Azure and the Microsoft 365 ecosystem. Familiarity with core concepts of artificial intelligence, machine learning, and large language models (LLMs). An awareness of the software development lifecycle (SDLC) and modern coding practices to support the adoption ...

data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardwaresoftware product ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

data science, AI modelling, or computational approaches to address policy-relevant or scientific questions. Proficiency in relevant tools such as Python, R, or machine learning frameworks (e.g. PyTorch, TensorFlow) is desirable. Experience of working with government, research institutions, or international organisations is desirable. Excellent organisational and project management … expertise openly. Commercially and policy aware, with the ability to identify emerging opportunities for impact and growth. Open-minded and intellectually humble, receptive to learning from colleagues across disciplines and levels of seniority. We welcome applications from a range of experience levels, from those slightly below to those exceeding ...

Tech Lead in Power Platform environments. Strong expertise in Power Apps, Power Automate, Power BI etc Hands-on experience with AI automation tools, machine learning models, and data analytics. Proficiency in programming languages such as C#, JavaScript, .NET, HTML, CSS, and familiarity with Azure services. Excellent problem-solving ...