1 to 25 of 27 Machine Learning Engineer Jobs in Cambridgeshire

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, cambridge col-narrow-left Client: Founding Teams Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator & Talent platform. We … have a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software … engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, peterborough col-narrow-left Client: Founding Teams Location: peterborough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator … have a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software … engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with More ❯

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 ❯

leverage the latest large language models combined with award-winning semantic technology to enable discovery within large volumes of unstructured data. About The Role We are seeking an ML Engineer to develop our AI/ML infrastructure. This role offers the opportunity to work with major pharmaceutical companies on projects that help discover the medicines of tomorrow. Additionally, you … to support AI models for processing large volumes of text-based data. Create and support interfaces for model interaction. Conduct testing and documentation. Requirements Experienced Python developer. Proficiency with machine learning libraries such as TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy. Experience with AWS (EC2, S3, SageMaker) or Azure/GCP equivalents. Experience designing, developing, and deploying … oriented programming concepts and design. Ability to create well-documented, modular, and unit-tested code. Understanding of Agile development and tools like pip, git, Docker, Terraform, AWS. Passion for learning and applying new technologies. Additional Skills (Advantageous) Experience designing or using RESTful web services. Experience deploying code in containers (e.g., Docker). Background in life sciences or pharmaceuticals. Experience 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 … 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 data pipelines for machine learning on multi-node GPU clusters. Training large language models 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 in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure More ❯

and ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related … academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject 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 ❯

What will I be doing: Our software engineers work across a wide variety of projects and with a diverse toolset. As a Full Stack Software Engineer for the Innovation team, you will be responsible for rapidly prototyping and iterating on new projects in a fast-moving environment. You will collaborate within a cross-functional team to make key decisions … wide range of infrastructures, languages, and technologies such as Linux, Windows, AWS, Python, Rust, Node, and PyTorch, and you will be driven to learn more as required. In this machine learning-focused role, you will also be curating datasets and working with ML concepts and associated libraries, such as PyTorch. What experience do I need: We welcome applications More ❯

Software Engineer (Full Stack, Machine Learning) Cambridge Darktrace has more than 2,500 employees located globally. Founded by mathematicians and cyber defence experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption. For over a decade, Darktrace has pioneered a … an ever-changing future. What will I be doing: Our software engineers work across a wide variety of projects and with a diverse toolset, as a Full Stack Software Engineer for the Innovation team you will be responsible for rapidly prototyping and iterating on new projects in a fast-moving environment. You will be collaborating within a cross-functional … a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, PyTorch and you will be driven to learn more as required. In this machine learning focused role you will also be curating datasets and working with ML concepts and associated libraries, such as Pytorch. What experience do I need: We welcome applications More ❯

Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) Join to apply for the Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) role at University of Cambridge Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) Join to apply for the Machine Learning Engineer … become an engine for scientific discovery across disciplines. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate Science Provides researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research. Pursues an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century. Convenes a community of researchers working at the interface of machine learning and the sciences to share knowledge and experiences that help advance the use of machine learning in the 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 ❯

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 … 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 ❯

Job Description: Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves … etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for machine learning. As an in-depth technical responsibility, you will need to deeply understand the complex applications you analyze and communicate them in their simplest form to contribute to product … components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machine learning projects • Experience with deployment optimizations on machine learning models In Return : From research to proof-of-concept development, to deployment on ARM IPs, joining this More ❯

Social network you want to login/join with: Position Summary The Distributed AI group in SAIC Cambridge is looking for a Machine Learning Engineer to join the team and work directly with research scientists and ML engineers of diverse skill sets, supporting research efforts in the areas of embedded/distributed ML, communications and robotics. The More ❯

Social network you want to login/join with: New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. … Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD … in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate More ❯

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD in a relevant … field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers More ❯

Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities Evaluate state of the art … efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers. Bridge the communication … or related quantitative field. Candidates should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive 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 … and 3-year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work 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 … with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD 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 More ❯

Avanti Recruitment have partnered with an exciting AI company in Central Cambridge, who are looking for a Machine Learning Engineer to join their growing team. You’ll be joining their cutting-edge AI team to develop and deploy state-of-the-art ML models that power real-world applications. You’ll work on groundbreaking AI solutions, such … as low-latency speech recognition systems and LLMs. You’ll need: A strong educational background, with some focus on ML/Deep Learning Experience using machine learning frameworks like PyTorch or Tensorflow Experience training machine learning models for production applications A background in handling multi-Terabyte datasets On offer are great salary and benefits, as 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 ❯

Spearheading the integration of machine learning into cutting-edge electronics This innovative team of engineers and scientists uses machine learning integrated with modern electronics to create new products and improve existing ones. As the industry undergoes a machine learning revolution, you can lead the charge. You will work across the entire machine learning … units manufactured at small scale. This group works on multiple projects per year, ranging from computer vision to generative models. Requirements: Strong knowledge of Python and its use in machine learning, including hands-on experience with frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains with the ability to quickly … adapt to new areas A top degree in a STEM subject UK nationality Experience deploying machine learning on hardware, from embedded systems to edge computing, is desirable. Knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc.) is also a plus. Your future colleagues are highly skilled professionals from diverse industry backgrounds, fostering a low-management, team-oriented 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 ❯

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 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 ❯

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge 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 Voice AI. 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 … engineering and model serving. What you'll be doing: Work with a diverse group of engineers across Speechmatics 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 ❯