What Jobs are available for Pytorch in London?

Our client, a prestigious university in London, England, UK , is seeking a highly qualified and passionate Senior Lecturer to contribute to its cutting-edge Artificial Intelligence program. This role offers a dynamic hybrid working arrangement, blending engaging on-campus teaching with flexible remote research and administrative duties.

Responsibilities:

• Deliver high-quality lectures and tutorials in various areas of Artificial Intelligence, including machine learning, deep learning, natural language processing, and computer vision, to undergraduate and postgraduate students.
• Conduct independent and collaborative research in Artificial Intelligence, aiming for publication in leading academic journals and conferences.
• Supervise postgraduate research students (Masters and PhD) and guide their academic and research development.
• Develop and update course curricula, teaching materials, and assessment methods to ensure relevance and academic rigor.
• Contribute to the departmental administration, including committee work, student advising, and program development.
• Foster a stimulating and inclusive learning environment for students.
• Seek external funding for research projects through grant applications.
• Engage in outreach activities to promote AI education and research within the wider community.
• Contribute to the enhancement of the university's reputation in the field of Artificial Intelligence.

Qualifications:

• A PhD in Computer Science, Artificial Intelligence, or a closely related field.
• A strong research record with demonstrable publications in reputable AI conferences and journals.
• Proven experience in university-level teaching and curriculum development.
• Experience in supervising postgraduate research students.
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated ability to attract research funding.
• A passion for AI education and research excellence.
• Familiarity with current trends and advancements in AI.
• Ability to work effectively in a hybrid academic environment.

This is an exciting opportunity for an experienced academic to join a leading institution and contribute to the advancement of Artificial Intelligence education and research.

Senior ML Research Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies.
Join us as a Senior ML Research Engineer and you will have the opportunity to:
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in AI and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
We are looking for a Senior ML Research Engineer with the following experience:
+ Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques
+ Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience
+ Proficiency in software engineering
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Europe, the Middle East and Africa). Alternatively, you can get support from our disability partner EmployAbility, please contact or
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior GenAI Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Artificial Intelligence (AI) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant GenAI platform systems
+ Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Interface with both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
+ Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior GenAI Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
+ An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
We give back to the technology community and you can read more about our outreach at:
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior ML Platform Engineer (London) - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant AI platform systems
+ Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
+ Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
+ Design CI/CD automation frameworks that incorporate regulatory requirements
+ Develop cloud-native deployment patterns for AI systems across environments
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior ML Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience designing cloud-native, distributed platforms
+ Strong knowledge of Kubernetes, Argo, and container orchestration technologies
+ Previous experience with modern CI/CD tools and GitOps workflows
+ Familiarity with implementing automation for model development lifecycles
+ A proactive mentality and ability to collaborate with peers, stakeholders, and management
+ A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
We give back to the technology community and you can read more about our outreach at:
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Our client, a prestigious Russell Group university, is seeking an accomplished Senior Lecturer to join their esteemed Computer Science department. This role focuses on Artificial Intelligence and Machine Learning, contributing to both undergraduate and postgraduate teaching and research. Located in the heart of London, England, UK , this position offers a hybrid working model, balancing engaging in-person teaching and research activities with the flexibility of remote work for certain duties. The Senior Lecturer will be expected to develop and deliver high-quality course materials, conduct cutting-edge research in AI/ML, supervise doctoral students, and contribute to the academic leadership of the department. Responsibilities include lecturing, leading seminar groups, designing and marking assessments, and fostering a stimulating learning environment for students. You will also be expected to secure research funding, publish in leading academic journals and conferences, and engage in collaborative research projects. The ideal candidate will possess a PhD in Computer Science or a closely related field, with a strong publication record in Artificial Intelligence, Machine Learning, or Data Science. Proven experience in teaching at university level, including curriculum development and student supervision, is essential. Excellent communication, presentation, and interpersonal skills are required, along with the ability to inspire and mentor students and junior researchers. This is an exceptional opportunity to advance your academic career at a world-renowned institution, contribute to the forefront of AI research, and shape the next generation of computer scientists. We are looking for a dedicated academic with a passion for teaching and research, who can contribute to the vibrant academic community. If you are a highly motivated individual seeking to make a significant impact in the field of AI education and research, we encourage you to apply.

Key Responsibilities:

• Deliver engaging lectures and tutorials in Artificial Intelligence and Machine Learning.
• Develop and update course curricula and teaching materials.
• Conduct independent and collaborative research in AI/ML.
• Supervise Master's and PhD students' research projects.
• Secure research grants and funding from external bodies.
• Publish research findings in high-impact journals and conferences.
• Contribute to the academic administration and strategic development of the department.
• Mentor junior faculty members and postdoctoral researchers.
• Foster interdisciplinary research collaborations.

Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• A strong record of high-quality research publications in leading AI/ML venues.
• Significant experience in teaching computer science at the university level.
• Proven ability to attract research funding.
• Excellent communication, presentation, and interpersonal skills.
• Experience in curriculum design and assessment.
• Demonstrated ability to supervise postgraduate research.
• A commitment to academic excellence and student mentorship.

This role is based at our campus in London, England, UK , with a hybrid working arrangement.

Senior ML Quant Engineer - Fixed Income - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you'll design and implement advanced models that leverage modern ML and statistical techniques on top of novel technology stacks and vast data sources to accurately price millions of securities. We are heavily invested in data-driven solutions that combine statistical and machine learning solutions to price diverse asset classes, with a strong focus on Fixed Income. Building on the success of modern ML-based pricing solutions, we are expanding our group to tackle more ambitious challenges in Fixed Income modeling. In this role, you will contribute novel modeling ideas and bring them to life by writing clean, modular, production-quality code for cloud-native environments, ensuring your work makes a tangible impact.
We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques.
**You'll have the opportunity to:**
+ Design, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets
+ Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
+ Design new architectures, systems and tools to power next-generation pricing capabilities of Bloomberg.
+ Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
+ Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences.
**You'll need to have:**
+ Previous relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry, ideally around asset valuation. A track record designing, building, evaluating, and maintaining statistical or Machine Learning solutions in production is a plus.
+ Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field.
+ Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies.
+ Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms.
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Europe, the Middle East and Africa). Alternatively, you can get support from our disability partner EmployAbility, please contact or
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior AI Engineer - Generative AI and Search - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:
+ Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
+ Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
+ Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
+ Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You'll have the opportunity to:
+ Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience.
+ Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
+ Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement.
+ Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
+ Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
+ Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You'll need to have:
+ Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
+ Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
+ Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
+ Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

At Tradeweb, we're constantly moving forward. We were the first to electronify the bond market, and we've been innovating ever since. Come join our team and find out what it means to lead the way into the future of electronic trading. Collaborate with our creative thinkers who have the vision and the drive, and learn how you too can make an impact of your own.
As an Artificial Intelligence (AI) technology intern, you won't just be along for the ride. You'll work with our technologists and business experts to gain practical, hands-on experience that you can actually use. Our program combines traditional classroom-settings with project-based work where you can get involved with the products and services the firm is working on. Along the way, you'll have guidance from people at all levels of the organization so you can start to build a long-lasting professional network and build relationships with the intern class through interactive outings and projects.
You will be joining the Artificial Intelligence team where you will report to one of our AI Researchers. The AI team is responsible for pricing, liquidity and dealer selection research, building tools for our core trading system, controlling business logic and ensuring the best user experience possible.
At the conclusion of your internship, you may be considered for full-time employment, to commence upon successful completion of your degree program.
**Internship Requirements**
+ In your final or penultimate year of an undergraduate or Master's degree in Maths, Physics, Engineering, Computer Science or related STEM field at time of application.
+ A good understanding of Python, with an understanding of object-oriented programming (OOP) principles.
+ A good understanding of Machine Learning and AI (Deep Learning) tools.
+ A desire to learn and understand, you thrive when studying and mastering complex concepts.
+ A keen problem solver, no problem is too big for you
+ Ability to take ownership of his/her work, working both independently and within a small team
+ A passion for technology and research.
+ Strong communication skills in English both verbal and written
+ Ability to work 9 weeks on-site in Tradeweb's offices from 29 th June 2026 to 28 th August 2026
For further information on our summer internship program please visit:
Tradeweb Markets**
Tradeweb Markets is a world leader in the evolution of electronic trading. A fintech company serving approximately 2,500 clients - including the world's largest banks, asset managers, hedge funds, insurance companies, wealth managers and retail clients -- in more than 65 countries across the globe. Since our first trade in 1998, we have helped transform and electronify the fixed income markets. Tradeweb is a culture built on innovation, creativity and collaboration. Through a combination of very talented and driven people, innovative products and solutions, cutting-edge technology, market data, and a vast network of clients, we continue to work together to improve the way financial markets trade.
**Mission Statement:** Move first and never stop. Collaborate with clients to create and build solutions that drive efficiency, connectivity, and transparency in electronic trading.
Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.
Policy Statement Link:**

Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence - Strand, London, WC2R 2LS About us

King’s College London is a world-renowned university that delivers exceptional education and world-leading research. We're committed to creating positive and sustainable change in our local and global communities through outstanding education, impactful research, and genuine service to society.

The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) is a leading centre for mental health and neuroscience research in Europe and the largest in the UK. From its earliest years, the IoPPN has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain.  The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The Department of Psychosis Studies is one of the world’s leading centres for research into psychotic disorders. It is part of the School of Academic Psychiatry. Our mission: we aim to advance the understanding and treatment of psychotic disorders across all stages to improve the lives of patients and their families. Our ethos: we take an inclusive approach that respects diverse opinions and backgrounds and includes patient and carer views to support staff and students in our mission. Our staff include clinical and non-clinical scientists with a wide range of expertise. Their research has been recognised by over 100 research awards, and multiple members of staff have been named by Web of Science as amongst the leading researchers in the world in psychiatry/ neuroscience. We have many research programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. 

We have been identified as the leading schizophrenia research institution in the world based on impact.  Our findings have influenced national and international guidelines and policies to improve the care of people with psychosis. 

About the role

We are seeking a highly motivated postdoctoral researcher to join the Department of Psychosis Studies at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London. This is an exciting opportunity to join the Artificial Intelligence in Mental Health Lab with Dr Paris Alexandros Lalousis and Professor Nikolaos Koutsouleris and work at the intersection of AI, neuroscience, and mental health, contributing to cutting-edge efforts to predict and understand psychosis and affective disorders.

We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging (structural and functional MRI, spectroscopy, PET), omics (genomic, proteomic, cytokine markers), and digital phenotyping (ecological momentary assessments, passive sensing).

In addition, the postholder will play a key role in building a predictive modelling platform within the Department, designed to host, test, and deploy machine learning models for transdiagnostic comparisons, external validation, and eventual integration into stratified clinical trials.

This is a full time (35 hours per week) role, and you will be offered a fixed term contract until 30/06/2028.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the  Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Developmen t for more information.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. PhD in neuroscience, psychology, psychiatry, biomedical engineering, or related discipline.
2. Documented expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders.
3. Experience in analysing high-dimensional data such as structural and/or functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices
4.  Excellent statistical and coding skills with demonstrated ability to apply and combine methodologies across MATLAB, Python, and/or R.
5.  Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health
6. Strong evidence of potential to build an academic career trajectory, including track record of publishing in scientific journals and participation in research projects, grants, and fellowships
7.  Interpersonal and communication skills with demonstrated ability to work within a geographically distributed networks of collaboration
8. Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare or mental health domain

Desirable criteria

1. Track record of successful research grant applications, or attempts to obtain grant funding.
2. Previous development of ML-based software such as recommendation systems, computer-aided decision support systems 
3. Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research
4.  Documented experience in using coding and data management systems such as e.g. GitHub, DataLad, Amazon Web Services (AWS), Microsoft Azure.
5. Demonstrated ability to co-supervise and mentor students at PhD and MSc levels.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.