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Job id: 114087 Salary: £44,355 - £51,735 per annum inclusive of London Weighting Allowance. Posted: 30 April 2025 Closing date: 21 May 2025. Business unit: Faculty of Life Sciences & Medicine Department: Res Dept of Imag Phys & Eng. Contact details: Shaihan Malik. Location: St Thomas' Hospital Category: Research. About Us Situated at St Thomas' Hospital in the heart of central London, theImaging Physics and Engineeringdepartment brings together physicists, engineers, and clinicians to develop cutting-edge imaging technologies that directly impact patient care. As part of the School of Biomedical Engineering & Imaging Sciences-an internationally leading centre for healthcare engineering-we benefit from close links to clinical practice and a vibrant, multidisciplinary research environment. This creates a unique opportunity to contribute to translational science at one of the UK's top academic institutions. About The Role The project focuses on the development of computational "digital twin" models and novel control strategies for sustainable MRI in low- and middle-income settings. You will take a lead role in modelling the behaviour of low-cost MRI systems, developing AI-driven control methods, and validating performance through both simulation and hands-on experiments, including collaborations with international partners. This is a unique opportunity to contribute to cutting-edge research at the interface of medical imaging, AI, and global health. You will be part of a multidisciplinary team with strong links to clinical practice and a shared goal of advancing MRI technology for broader, equitable access. The role will offer opportunities for travel, publication, and collaboration across a global network of academic and clinical partners. Candidates should hold (or be close to completing) a PhD in a relevant field and have strong experience in scientific computing and data modelling. Experience with MRI, AI/machine learning, or imaging hardware is desirable. This is a full time post ( 35 Hours per week). About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded (or pending) in relevant subject area Strong background in coding for modelling/data processing in a scientific context Ability to work independently Excellent communication skills Track record of written publications and presentations at conferences Willingness to travel for performing experiments with collaborators if the requirements of the project demand Desirable criteria Experience of using Magnetic Resonance Imaging and allied technologies Knowledge of MR system engineering (hardware) Experience with training AI/machine learning models 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. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ' How we Recruit' pages. PLEASE CLICK HERE TO APPLY Tagged as: AI in medical imaging , biomedical engineering careers , global health research roles , imaging physics vacancies , King's College London jobs , low-cost MRI technology research , MRI modelling jobs , MRI research jobs UK , research associate job London , scientific computing roles UK

Five billion people in the world do not have access to safe and affordable surgery, and this is a problem everywhere, not just in developing countries. Proximie is on a mission to improve healthcare by transforming the world's operating rooms into connected ecosystems of people, devices, and data. Proximie's advanced telepresence and cloud data solutions ensure seamless information flow in and out of the operating room (OR). Once collected, this data becomes a "single source of truth," allowing healthcare professionals to utilize powerful analytics to identify patterns, trends, and bottlenecks, as well as uncover optimization opportunities. Proximie empowers medical device companies and healthcare organizations with operating room intelligence to drive productivity and innovation. Our key solution areas are: Real-time Connectivity: Be in the operating room from anywhere. Unified Data: Creating a single source of truth in the OR. Analytics and Insight: Turning incisive insight into decisive results. Video Library: Learn more from every procedure. Proximie was Founded in 2016 by Dr. Nadine Hachach Haram, an NHS surgeon and is headquartered in London with offices in the United States and Lebanon. Proximie has 100 employees today and is deployed in over 50 countries. Position Overview As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will lead the development of intelligent systems that can automatically detect and capture key events in the operating room. You'll design robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video. Both roles demand creativity, precision, and a deep understanding of real-world machine learning at scale. If you're excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we'd love to hear from you. Responsibilities Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world. Design, train and validate machine learning mono and multi-modal models using state of the art approaches. Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie's data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred. Minimum of 4 years' hands-on experience in industry, developing and deploying AI solutions which solve real-world problems. Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable. Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well-being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world. Proximie is an equal-opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.

Hours per week: 37 Project Title: Next generation tools for genome-centric multimodal data integration in personalised cardiovascular medicine Months Duration: 36 Job Description Main Purpose of the Job As part of the EU Horizon / Innovate UK funded project "Next Generation Tools for Genome-Centric Multimodal Data Integration in Personalised Cardiovascular Medicine", the role will engage with primary research. The post holder, working closely with external partners and members of the EU consortium, will focus on developing machine learning applications to investigate the implications of genetic variation within noncoding functional elements in relation to cardiovascular disorders. The successful candidate will be required to work with relevant EI staff and with collaborators as part of the EU consortium to carry out necessary research to meet key deliverables for the project. They may also act as a key technical resource to clarify issues, participate in analysis, and apply comprehensive knowledge to contribute to the completion of assignments as part of several research projects. Key Relationships Internal: Group leaders at EI, EI's Director and Senior Management Team. EI's Science Faculty groups, NBRI and communications and training teams. External: EU consortium members, consortium project managers, collaborators, visitors to EI. Innovate UK, BBSRC officers, academic and industrial stakeholders. Main Activities & Responsibilities Percentage Apply machine learning developments to annotate functional non coding sequences, reconstruct regulatory networks, and prioritise variants - 40% Collaborate with colleagues within the Horizon NextGen consortium and within the Institute in the development of original and world-class research, including contributing to research proposals and grant applications - 25% Develop analytical pipelines for the reproducible handling and analysis of multi omic data sets - 10% Prepare results, reports and manuscripts for publication in leading scientific journals and other relevant media - 10% Disseminate research findings through presentations to various audiences at internal, national and international meetings - 5% Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity and in compliance with local policies and any legal requirements - 5% As agreed with the line manager, any other duties commensurate with the nature of the post - 5% Person Profile Education & Qualifications Requirement: PhD in bioinformatics, computational biology or related subject with experience of working on genomics and transcriptomics data and bioinformatics - Essential Specialist Knowledge & Skills Requirement: Pertinent experience in Linux and in shell scripting - Essential Experience of transcriptomics, genomics analyses - Essential Excellent record-keeping and time management skills to work on several different projects at the same time - Essential Demonstrated skills in at least one of the following programming languages: Python, Perl, R - Essential Excellent problem-solving skills with the ability to solve problems with numerous and complex variables - Essential Experience in applying machine learning solutions for genomics investigations - Essential Requirement: Experience using machine learning applications (e.g. convolutional neural networks, recurrent neural networks) - Essential Experience of working on externally funded projects - Essential Experience with next generation sequencing (RNA-Seq, DNA-Seq) and large-scale data analysis - Desirable Interpersonal & Communication Skills Requirement: Ability to follow instructions/Standard Operating Procedures - Essential Demonstrated ability to work independently, using initiative and applying problem solving skills - Essential Good communication skills, both written and verbal - Essential Good interpersonal skills, with the ability to work well as part of a team - Essential Additional Requirements Requirement: Attention to detail - Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work - Essential Ability to maintain confidentiality and security of information where appropriate - Essential Willingness to work outside standard working hours when required - Essential Promotes equality and values diversity - Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute - Essential Who We Are About the Earlham Institute The Earlham Institute is a hub of life science research, training, and innovation focused on understanding the natural world through the lens of genomics. We are building a future where the biology of any organism can be understood by analysing its genome. Our mission is to decode the scale and complexity of living systems so we can understand, benefit from, and protect life on Earth. The Earlham Institute is based on the Norwich Research Park and is one of eight institutes that receive strategic funding from the UKRI Biotechnology and Biological Science Research Council (BBSRC). Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make predictions about biology. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture The Earlham Institute champions 'team science'. Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration. We attract staff from around the world who contribute to - and benefit from - an environment that enables them to deliver world-class science alongside a supportive and social community. The project is led by Dr Wilfried Haerty, and the successful candidate will work closely with groups across EI and with external collaborators as part of the Horizon NextGen Consortium. Postdoctoral Research Scientist Applications are invited for a Postdoctoral Research Scientist to join the Research Faculty Department at the Earlham Institute, based in Norwich, UK. Background In humans, over 90% of the variants associated with traits are found within noncoding regions of the genomes, either within genes' introns, untranslated regions, promoters, or within intergenic regulatory regions such as enhancers. Identifying those functional noncoding sequences and being able to predict the impact of variation within those regions has significant implications. As such, depending on the genetic disorder, between 30% and 70% of the patients do not receive a genetic diagnosis as the likely causative variants fall outside coding sequences. The recently funded Horizon NextGen consortium encompassing 21 organisations across Europe aiming at developing federated approaches to enable the integration of multimodal and multiomic resources for applications in the areas of cardiovascular medicine. As part of this highly collaborative project bringing together computer scientists, data scientists, bioinformaticians, clinicians across academia and industry, we are seeking an enthusiastic and ambitious Postdoctoral Research Scientist to undertake computational analysis of the functional implications of variation within noncoding functional sequences in relation to cardiovascular disorders. The role will engage with primary research. The post holder will work closely with external partners and members of the EU consortium, and will focus on developing machine learning applications to investigate the implications of genetic variation within noncoding functional elements in relation to cardiovascular disorders. The post holder will lead on the development and testing to applications to identify noncoding functional elements based on integration of multi-omic data (genome, transcriptome, epigenome) and integrate this novel information in the development of tissue / condition specific regulatory network, with the aim of prioritising variants occurring within those regions based on their predicted impact. They will also lead on the analysis, preparation, and submission of the associated manuscripts. The successful candidate will develop computational pipelines centered on machine learning applications such as convolutional neural network to reproducibly handle multi-omic data (genome, transcriptome . click apply for full job details

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. Security Vetting and Clearance Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

The Company You'll Join At Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. Our cutting-edge Taste AI technology analyzes vast amounts of data-over half a billion records spanning public figures, places, and cultural entities-to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts through the noise to reveal the signals that matter. And we do it without relying on personally identifiable information . Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information. Following our Series C funding, we're growing our team to expand our reach and continue redefining what's possible with Taste AI. This role will be instrumental in driving that next stage of growth. What it's like to work at Qloo At Qloo, we're building AI solutions that power personalization for some of the world's greatest companies, but we're just as committed to fostering an exceptional workplace. Here, curiosity is key. We thrive on tackling tough challenges, continuously pushing the boundaries of what's possible. We value autonomy and ownership, empowering team members to take initiative and drive impact. Our team is small but mighty, meaning every role here matters. Collaboration is at our core, and we believe that diverse perspectives make for better solutions. We also know that great work comes from people who feel supported-whether that's through professional growth opportunities, a flexible and inclusive environment, or simply sharing ideas over our Thursday team lunches in Soho. But don't just take our word for it: "The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued." - Sreekant, VP of API Engineering The team you'll work with: Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely with software engineers, data engineers, and other teams to integrate ML models into production systems, aligning with business requirements. Model Performance Monitoring & Improvement: Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines. Experimentation & Innovation: Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions. Continuous Learning: Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques. To be a successful match you must have: 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning principles, including model evaluation, optimization, and deployment best practices. Self-motivated, collaborative, and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment. Excellent communication and interpersonal skills, capable of bridging technical work with business applications. Experience with model monitoring frameworks and A/B testing. Familiarity with cloud environments (e.g., AWS, Google Cloud) and deployment of ML models at scale. Exposure to startup or high-growth company environments. What we offer: Potential equity package Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee 4% 401K matching 20 paid time off days 5 paid sick days 12 weeks of paid parental leave 10+ annual company holidays Opportunities for professional development and growth within a dynamic environment A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired $120,000 - $150,000 a year We are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level. Join us At Qloo, we're building the future of consumer intelligence. If you're excited about AI, passionate about helping businesses understand their audiences, and ready to make an impact, we'd love to hear from you.

Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.