7,102 Microsoft Research Cambridge jobs in the United Kingdom

Job Title: Research Engineer/Scientist

Location: Romsey

Salary: Up to £40,000

Yoh are working in collaboration with an exciting business who are growing their team with the addition of a research engineer/scientist to join the team to help with groundbreaker research and implementation in the water and sensor industry.

We are on the look out for an inquisitive individual who would be able to bring both solutions and new ideas to the team. This position is a varied role and likely for every day to be different. This could be setting up new tests and experiments, to analysing the sensor data that was collected or troubleshooting electronics.

Some of the skills to be successful in this role would include:

• Experience working with Python and SQL
• Research experience or background, this could be from education or commercial work.
• Understanding of sensors or similar would be advantages
• A background in Electrochemistry would be great to have, but not necessary for his position.

Candidates with a research background and an interest in creating new products for an exciting industry like the water industry, I would encourage candidates to apply.

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.

Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford’s science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration.

 
Job summary: 
We are looking for Research Engineers who will work with large scale   datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling. 

Responsibilities 

• Design and implement advanced ML architectures 

• Develop robust model evaluation pipelines. 

• Optimize model architectures for performance and reliability. 

• Drive best practices in code quality, reproducibility, and collaboration. 

• Build and maintain large-scale ML systems that process biomolecule datasets. 

• Work with domain specialists to incorporate wet lab data and HPC simulations. 

• Help to build and maintain large-scale generative models of molecular data. 

Requirements

Qualifications 

• Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus. 

• Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures. 

• Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation). 

• Strong understanding of data modeling and pipeline optimization for large-scale experiments. 

• Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly. 

The Ellison Institute of Technology (EIT) Oxford’s purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity’s most challenging problems. 

EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. 

Led by a faculty of world experts, EIT Oxford seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in an era of artificial intelligence. 

EIT Oxford is investing significant resources in a new world-class research and development facility in the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT Oxford experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars. 

EIT Oxford is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone’s experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity’s most enduring challenges. 

 
Job summary 
We are looking for Research Engineers who will work with large scale   datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling. 

Responsibilities 

• Design and implement advanced ML architectures 

• Develop robust model evaluation pipelines. 

• Optimize model architectures for performance and reliability. 

• Drive best practices in code quality, reproducibility, and collaboration. 

• Build and maintain large-scale ML systems that process biomolecule datasets. 

• Work with domain specialists to incorporate wet lab data and HPC simulations. 

• Help to build and maintain large-scale generative models of molecular data. 

Requirements

Qualifications 

• Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus. 

• Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures. 

• Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation). 

• Strong understanding of data modeling and pipeline optimization for large-scale experiments. 

• Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly. 

Infrastructure Research Engineer

European Tech Recruit are working closely with a multinational telecommunications company, based in Edinburgh, who are looking for a talented Infrastructure Research Engineer to join their team.

This role can be available on either a perm or 12 month rolling PAYE contract.

In this role you will join a research lab focused on shaping the future of data center infrastructure. As a Research Engineer you will collaborate with leading scientists, tackle cutting-edge research problems in systems, foster influence in academia and industry through technological innovations, and cultivate partnerships with local and global research teams.

Responsibilities as Infrastructure Research Engineer :

• Contribute to the research and development team's exploration of emerging technologies and systems.
• Engage in team projects to conduct system design, analysis, and prototype development.
• Play a role in selecting research problems, designing solutions, analysing results, and building prototypes to showcase the advantages and challenges of these technologies across various data center and cloud applications.
• Design, implement, and evaluate key technologies and associated algorithms.
• Actively engage with academia, industry, and open-source communities to establish influence and contribute to the broader technological landscape.

Requirements:

• Bachelors or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Be comfortable with system design and implementation.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing.
• Good programming skills, master of at least one language, such as C/C++, Go, Python etc.
• Good communication skills.

Desirable Experience:

• PhD in operating systems, distributed systems etc.
• Published papers in top journals/conferences.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to

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Team:  Machine Learning

Location:  London (On-site; Liverpool Street)

Employment Type:  Full-time and Permanent

Remuneration:  £90 - 120k  Base Salary + Discretionary Bonus + Equity

We are a stealth-mode AI laboratory researching and developing Machine Learning models.

The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.

In this role, you will:

• Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference.
• Work closely with clients to understand data and model architecture requirements for their business needs.
• Be given a high degree of autonomy and ownership over your work.
• Co-hire your future colleagues.
• Work closely with the founding team and contribute towards best practices, standards, and culture of the company.

What we are looking for:

• Research engineering:  2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment.
• LLMs:  Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference.
• Programming languages:  Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework.
• Customer facing:  Experience working directly with customers to solve applied problems, including product integration.
• Cloud-native technologies:  Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker).
• Algorithms and data structures:  Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems.
• Problem solving:  Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks.
• Collaboration and communication:  Excellent interpersonal and communication skills with a desire to learn.

We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.

Nice to have:

• Publications:  At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV)
• Open-source:  Contributions to and experience in open-source projects.
• Startup experience:  Experience with a startup work environment and wider ecosystem.

Why join us?

• Work in an environment conducting cutting-edge research in AI.
• An official role title of “Founding Research Engineer” - make an impact on day one.
• Competitive salary, equity and benefits package.
• 28 days + public holidays allowance.
• Opportunities for professional growth and progression with your career.
• Work on challenging engineering problems that have a real impact on the industry.
• Work with high-profile customers and technology partners.

Welcome to the video first world

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.

Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video .

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….

Meet Synthesia

We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 .

In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

What you'll do at Synthesia:

As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.

In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as:

• Apply DPO (direct preference optimisation) to pre-trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip-sync.
• Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods.

What we're looking for:

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
• You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention)
• You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.
• You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.
• You have experience in using most modern frameworks for machine learning and deep learning.
• You have great coding skills in Python and you care about writing clean code.
• You have experience with SDLC tools (Git), preferably CI/CD

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 .

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security .

The good stuff.

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• + other benefits depending on your location

You can see more about Who we are and How we work here:

Welcome to the video first world

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.

Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video .

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….

Meet Synthesia

We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 .

In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

What you'll do at Synthesia:

As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.

In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as:

• Apply DPO (direct preference optimisation) to pre-trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip-sync.
• Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods.

What we're looking for:

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
• You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention)
• You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.
• You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.
• You have experience in using most modern frameworks for machine learning and deep learning.
• You have great coding skills in Python and you care about writing clean code.
• You have experience with SDLC tools (Git), preferably CI/CD

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 .

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security .

The good stuff.

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• + other benefits depending on your location

You can see more about Who we are and How we work here:

• Implement and optimize state-of-the-art machine learning algorithms and deep learning models.
• Develop and maintain robust software prototypes for AI research projects.
• Collaborate with AI researchers to design and execute experiments, analyze results, and iterate on models.
• Contribute to the development of scalable and efficient AI systems.
• Assist in the deployment and integration of research prototypes into larger systems or products.
• Stay updated on the latest advancements in AI, machine learning, and related fields.
• Troubleshoot and debug complex technical issues in research code and systems.
• Document research methodologies, findings, and code effectively.
• Participate in team discussions and contribute to the technical direction of research projects.
• Prepare research findings for internal and external dissemination.

• Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• Minimum of 3 years of experience in AI/ML research or engineering, with a strong academic background.
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of machine learning concepts, algorithms, and experimental design.
• Experience with software development best practices, including version control (Git) and testing.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills, essential for a **fully remote** work environment.
• Ability to work independently and manage multiple tasks effectively.
• A demonstrable passion for AI research and development.