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Ultrasound Specialist - Surgical Technology Innovation - Cambridge
A pioneering surgical technology team near Cambridge is seeking a talented ultrasound scientist to help shape the future of medical innovation.
Renowned for delivering transformative solutions across healthcare and life sciences, this group collaborates with ambitious organisations to redefine clinical outcomes and surgical practice.
This opportunity is particularly well-suited to a PhD graduate, postdoctoral researcher, or early-career professional with a strong foundation in ultrasound and a desire to apply their expertise to real-world challenges.
You'll be involved in the development of advanced surgical platforms, including sensor-integrated instruments and robotic systems, contributing across the full product lifecycle—from early-stage concept development to final deployment.
You'll work closely with multidisciplinary teams and engage directly with clients, helping to shape strategy and deliver commercially valuable outcomes.
Alongside this, you'll have the chance to build your profile within the surgical technology community, supported by experienced peers and a culture that values technical freedom, shared ideas, and entrepreneurial thinking.
To thrive in this role, you'll need a PhD or equivalent experience in biomedical engineering, physics, electrical engineering, or a closely related field.
Your background might include research into acoustic sensing, imaging systems, or transducer technologies, whether through doctoral studies, postdoctoral work, or early industry roles.
You'll bring a proactive and inventive mindset, with the ability to navigate complex technical challenges and contribute to collaborative problem-solving.
Experience across areas such as transducer architecture, signal processing, imaging algorithms, acoustic measurement, or regulatory considerations would be beneficial, though not essential.
This is a fast-paced, intellectually curious environment where your ideas can make a tangible impact.
Whether you're transitioning from academia or building on early industry experience, you'll be joining a team that champions technical excellence, creative thinking, and meaningful collaboration.
In return, you'll receive a competitive salary, performance-based bonus, private medical cover, enhanced pension contributions, free meals, and access to a wide range of lifestyle and professional development perks.
To explore this opportunity further, contact Andrew Welsh, Director of Medical Devices, Biotech and Drug Discovery Recruitment at Newton Colmore, on +44 121 268 2240.
Alternatively, submit your CV and a member of our team will be in touch to discuss next steps. ....Read more...
Type: Permanent Location: Cambridge, England
Salary / Rate: Pension, bonus, medical etc.
Posted: 2026-01-09 12:04:00
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Machine Learning Engineer
Machine Learning Engineer - AI for Advanced Materials - Oxford
(Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform)
We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing how the world designs and makes advanced materials.
By combining artificial intelligence, physics-based simulation, and cutting-edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond.
This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes.
You'll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation.
Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production.
If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in.
Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies.
Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible.
All Machine Learning Engineer positions come with the following benefits:
, Competitive salary with annual performance-based bonuses
, Equity options — share in the company's long-term success
, Private healthcare and comprehensive wellbeing package
, Generous pension scheme (up to 8%)
, Dedicated R&D time to explore new technologies and research ideas
, Annual training & conference allowance of £5,000 for personal development
, Opportunities for international collaboration with teams in Europe, Asia, and the US
, 25 days holiday plus your birthday off and extra days for long service
, Regular team offsites, guest talks, and hack weeks to spark innovation
, An open, supportive culture that values curiosity, creativity, and deep technical mastery
Location: Oxford, UK (onsite)
Salary: £45000-£80000 (DOE) + Bonus + Equity + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK.
To apply for this position please send your CV to Lina Savjani at Noir.
NC/LS/MLENG ....Read more...
Type: Permanent Location: Yarnton, England
Start: ASAP
Duration: PERM
Salary / Rate: Up to £80000 per annum + Non contributory pension, healthcare, DIS etc
Posted: 2025-12-22 02:03:00
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Artificial Intelligence researcher required to design image recognition machine learning software systems.
Key skills
Python
Java and C++
Machine Learning
Caffe
OpenCV
TensorFlow
Torch or PyTorch
OpenCV
Type: Permanent Location: Hereford, England
Start: ASAP
Duration: Permanent
Salary / Rate: £42000 - £58000 Per Annum None
Posted: 2025-12-12 09:29:00
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My client is looking for someone capable of working with User Researchers to design studies, understand and then translate the results into software specifications then communicate these with the programming team and Software Designers / Developers.
You will be responsible for discovering how numerous user, senior management and other research findings can be translated into a compelling design concept.
Working within the UX team you will get involved in carrying out user research, insight analysis and user journey mapping in order to provide developers and business analysts with design concepts.
Requirements:
You will have a degree and ideally post graduate qualification and/or research experience.
Also relevant industry experience in Interaction Design, HCI, Product Design, Industrial Design and an appreciation of: Business Analysis, Software Development or Visual Design.
....Read more...
Type: Permanent Location: Oxford, England
Start: ASAP
Duration: six months, possibility of permanent
Salary / Rate: £58000 - £63000 Per Annum None
Posted: 2025-12-09 10:30:01
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Machine Learning Engineer
Machine Learning Engineer - AI for Advanced Materials - Oxford / Remote (UK)
(Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform)
We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing how the world designs and makes advanced materials.
By combining artificial intelligence, physics-based simulation, and cutting-edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond.
This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes.
You'll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation.
Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production.
If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in.
Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies.
Join a team that's fusing AI, science, and engineering to push the boundaries of what's possible.
All Machine Learning Engineer positions come with the following benefits:
, Competitive salary with annual performance-based bonuses
, Equity options — share in the company's long-term success
, Private healthcare and comprehensive wellbeing package
, Generous pension scheme (up to 8%)
, Dedicated R&D time to explore new technologies and research ideas
, Annual training & conference allowance of £5,000 for personal development
, Flexible and hybrid working — work where you're most effective
, Opportunities for international collaboration with teams in Europe, Asia, and the US
, 25 days holiday plus your birthday off and extra days for long service
, Regular team offsites, guest talks, and hack weeks to spark innovation
, An open, supportive culture that values curiosity, creativity, and deep technical mastery
Location: Oxford, UK
Salary: £45000-£80000 (DOE) + Bonus + Equity + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK, even though remote working is available.
To apply for this position please send your CV to Lina Savjani at Noir.
NC/LS/MLENG ....Read more...
Type: Permanent Location: Yarnton, England
Start: ASAP
Duration: PERM
Salary / Rate: Up to £80000 per annum + Non contributory pension, healthcare, DIS etc
Posted: 2025-12-08 10:40:47
