Research Scientist Jobs in United Kingdom.
All active Research Scientist roles based in United Kingdom.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.
This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.
We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.
About the Role
As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.
You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.
What You’ll Be Doing
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Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production
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Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
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Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders
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Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality
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Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
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Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services
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Integrating services from other teams around the company, while also providing reusable ML services to others
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Evaluating and providing feedback on new platform technologies provided by internal teams
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Working with QA teams to address bugs and contribute to automation and quality assurance
We’re Excited If You Have
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A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field
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Strong background developing applied machine learning systems using PyTorch or TensorFlow
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Expertise in image processing, computer vision, or natural language processing
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Experience using AWS, GCP, or Azure for storing data, training, and serving models
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Proven ability to evaluate models and communicate insights effectively
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Experience building APIs with frameworks such as GraphQL or REST
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Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
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Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools
#LI-PA1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Lead Data Scientist — Global Football Metrics
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At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.
We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.
Ready to join us?
Your Role
We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.
As a Lead Data Scientist, your key responsibilities will include:
- Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
- Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
- Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
- Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.
We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.
Must-Haves
- Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
- A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
- User-focused. You’re excited to have your work used by real people to solve real problems.
- Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.
Nice-to-Haves
- Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
- Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.
Our Role
- Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
- Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
- Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
- Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
- Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.
Compensation
The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.
Our compensation decisions are based on an individual's experience, skills and education in line with our internal pay equity practices.
This role will also be eligible for a long-term incentive (LTI) award.
Inclusion at Hudl
Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.
We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
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Staff Data Scientist – Experimentation: Innovation & Research
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.
What You’ll Be Doing:
- Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
- Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
- Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
- Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
- Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
- Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
- Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
- Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
- Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.
What We’re Looking For:
- Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
- Strong familiarity with the gaming industry and contemporary gaming experiences.
- 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
- Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
- Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
- Expertise in causal inference techniques and designing both randomized and quasi-experiments.
- Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
- Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
- Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
- A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- Free soft drinks
- On site bar
- Access to cycle garage and showers
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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Machine Learning Fellow - Human Frontier Collective (UK)
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PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
- ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
- Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
- Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
- Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Staff Technical Program Manager, AI
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
We are seeking a highly experienced and results-oriented Staff Technical Program Manager (TPM) to drive AI-first engineering excellence efforts. Our mission is to improve engineering velocity, and you will act as a force multiplier on mission-critical, large, complex initiatives with a focus on AI enablement. In this role, you will be driving the technical roadmap that transforms how our engineering teams build software through AI-assisted workflows. This high-impact role requires a deep understanding of infrastructure, developer productivity, and the evolving landscape of AI tooling.
What you´ll do
- Lead the end-to-end program management for Engineering Excellence / AI readiness / AI DLC rollout projects.
- Integrate Claude Code and other AI-native development tools and skills management into existing engineering workflows for measurable productivity gains.
- Support Engineering Platform teams in efforts to modernize CI/CD pipelines, enabling automated AI-driven testing, code reviews, and deployment orchestration.
- Drive technical strategy and alignment across Engineering, Security, and Product leadership to address the unique challenges of AI-generated code and agentic autonomy.
- Align roadmaps across multiple teams and domains to roll out AI advances.
- Mentor other TPMs and engineers, raising the collective technical bar for AI-integrated program management across the organization.
- Solve problems, improve processes, remove bottlenecks, share updates - all the TPM bread and butter, AI-assisted (by you!) to be made as simple as possible, but not simpler.
Who You Are
- Bachelor's degree or above in Computer Engineering, Computer Science, or a related technical field. You are an engineer or scientist by training.
- 10+ years of experience in technical program management or software engineering leadership. You are a manager by earned experience.
Software development background with programming language proficiency and the ability to participate in architectural reviews. You are still a developer at heart. - Extensive experience with AI-assisted development tools (e.g., Claude Code) and a strong understanding of LLM capabilities. You are hands-on.
- Expert-level knowledge of CI/CD methodologies, infrastructure-as-code, and cloud-native development environments. You automate at scale.
- Proven track record of leading large-scale, complex technical rollouts across multiple business units. You deliver.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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WQBRAIN Researcher
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
ABOUT WORLDQUANT BRAIN
worldquantbrain.com
BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm.
THE ROLE:
WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant.
Research
- Create and develop Alphas and other utilization algorithms on BRAIN
- Conduct research on academic quantitative finance literature
- Identify and design new research domains. Generate ideas to grow the domain
Platform development
- Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
- Design and test new functionalities and datasets on the BRAIN platform.
Business Development and Consultant Engagement
- Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
- Conduct training sessions for BRAIN users and consultants
- Prepare and update training curriculum of BRAIN
WHAT YOU’LL BRING:
- Familiarity and competence in using BRAIN. Applicants expected to have Consultant status on the BRAIN Platform - worldquantbrain.com
- Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
- Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
- Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
- Have a strong interest in learning about worldwide financial markets
- Possess good communication and presentation skills in English
Position based in London. Visit https://www.worldquant.com/brain/ for more information about WorldQuant Brain.
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
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Snr. Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom)
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KnowBe4 is the global leader in Human Risk Management, trusted by over 70,000 organizations worldwide to secure their employees and AI agents for over 15 years. We're pioneering a new era of security. AI-powered since 2016. And market-leading since day one.
Our HRM+ combines continuous risk intelligence, advanced technical defenses, and personalized training to help organizations build strong security cultures. We help organizations understand, measure, and reduce human risk across their entire workforce, defending against, deepfakes, and emerging AI-powered threats.
We believe that protecting organizations from cyberthreats and creating a positive environmental impact go hand in hand. True resilience is collective, it requires us to protect our people, our data, and our planet.
To learn more about our team and office culture in England (UK), visit the following links.
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/
The Cybersecurity Threat Analyst works in the KnowBe4 Threat Research Lab, and is responsible for creating solutions and models to detect threats in KnowBe4’s target markets and products.
Responsibilities:
- Analyzes threat data and implements technical solutions
- Innovate and create extensions to detection paradigms in end to end fashion
- Perform novel algorithm and modeling creation to new challenges and business objectives
- Assist other team members by providing technical direction
- Recommends solutions to threat lab objectives
- Provides coordination across functional boundaries
- May act as team lead for sub-projects
Requirements:
- BS or equivalent plus 5 years experience
- MS or equivalent plus 4 years experience
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
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About us
Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.
What you will do
- Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
- Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
- Own Research work-streams at different levels, depending on seniority.
- Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
- Collaborate with colleagues beyond the research team to translate your models into production-ready code.
- Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.
- Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor.
What you bring to the table
- Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
- Ability to scope and effectively deliver projects.
- Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
- Excellent collaboration and communication skills — with teams and customers alike.
- PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
- operator learning (neural operators), or other probabilistic methods for PDEs;
- geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
- generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
- >2 years of experience in a data-driven role in a professional industry setting (excluding post-doc positions), with exposure to:
- building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
- developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
- iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
- combining theoretical reasoning with empirical intuition to guide investigation;
- formulating and running experiment pipelines to benchmark models and produce comparable results;
- writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
- Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn’t stop there …
🚀 Equity options - share meaningfully in the company you’re helping to build.
🏦 10% employer pension contribution - because investing in future matters.
🍽️ Free office lunches - to keep you energised and focused.
👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
🍼 YellowNest nursery scheme - to help working parents manage childcare costs.
☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.
💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.
👀 Eye tests - because good work depends on good health.
📈 Personal development - dedicated support for learning, development, and leveling up over time.
💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.
🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.
🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.
🔎 Watch this space, we’re continuing to build this as we grow…
Ready to apply?
Apply to PhysicsX
Associate Data Scientist - Operations Research
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About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment.Responsibilities
- Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML and optimisation models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
- Strong foundation in mathematical optimisation or mathematical programming
- Solid knowledge of probability & statistics
- Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
Nice to have
- Exposure to dynamic pricing, auction design, or marketplace matching problems
What we Offer
- Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
- Salary: £50,000 – £70,000
- Employee stock options plan
- Private medical and dental insurance
- Life and critical illness cover
- Latest-generation MacBook Pro and 4k display
- Monthly credit towards Wheely journeys
- Cycle to Work scheme
- Professional development stipend
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Ready to apply?
Apply to Wheely
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.Responsibilities
- Collaborate with engineers, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Strong academic background in a STEM field
- 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles
- Strong foundation in probability & statistics
Nice to have
- Experience with geospatial data or routing (particularly relevant for the Mapping team)
- Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams)
- Experience deploying real-time or latency-sensitive ML systems
What we Offer
- Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
- Salary: £90,000 – £110,000
- Employee stock options plan
- Private medical and dental insurance
- Life and critical illness cover
- Latest-generation MacBook Pro and 4k display
- Monthly credit towards Wheely journeys
- Cycle to Work scheme
- Professional development stipend
- Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Ready to apply?
Apply to Wheely
About us
Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.
What you will do
- Own Research work-streams at a high-level to deliver outcomes.
- Align priorities with problem stakeholders, internal and external.
- Set the technical direction for the stream and apply judgement and taste to drive progress.
- Plan roadmaps with clear milestones for key decisions and outcomes.
- Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.
- Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.
- Contribute towards Research group strategy and culture.
- Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives.
- Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.
- Nurture younger colleagues to grow their skillset and guide their professional development.
- The below activities in particular.
- Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
- Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
- Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
- Collaborate with colleagues beyond the research team to translate your models into production-ready code.
- Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.
What you bring to the table
- Ability to scope and effectively deliver projects.
- Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
- Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
- Excellent collaboration and communication skills — with teams and customers alike.
- PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
- operator learning (neural operators), or other probabilistic methods for PDEs;
- geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
- generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
- Ideally, >4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in:
- building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications;
- developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
- iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
- combining theoretical reasoning with empirical intuition to guide investigation;
- formulating and running experiment pipelines to benchmark models and produce comparable results;
- writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
- Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn’t stop there …
🚀 Equity options - share meaningfully in the company you’re helping to build.
🏦 10% employer pension contribution - because investing in future matters.
🍽️ Free office lunches - to keep you energised and focused.
👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
🍼 YellowNest nursery scheme - to help working parents manage childcare costs.
☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.
💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.
👀 Eye tests - because good work depends on good health.
📈 Personal development - dedicated support for learning, development, and leveling up over time.
💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.
🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.
🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.
🔎 Watch this space, we’re continuing to build this as we grow…
Ready to apply?
Apply to PhysicsX
Research Scientist
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*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.
Research Scientist in Science
Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.
Are you a Research Scientist in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.
If so then keep reading….
As a Research Scientist in Science, you’ll be a part of the Research department,
The Research Scientist in Science must accomplish the following:
- Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
- Engage and assist in the identification of research directions
- Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
- Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments
- Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.
- Contribute to the team’s publication efforts.
- Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.
Requirements:
- Ph.D. degree in Computer Science, Machine Learning or a related field.
- Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
- Experience in developing and debugging in Python3 or similar languages.
- Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
- Experience in planning and conducting research works
- A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
- Excellent communication skills and collaborative spirit.
Nice to haves
- 2-5 years experience
- Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
- Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
Our Diversity, Equity, and Inclusion commitments
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team?
At present, we operate in a hybrid work model of two days mandatory a week in the office. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note you will require the legal right to work in the location you are applying for.
If you have any further questions please do not hesitate to contact us at: talent@instadeep.com
*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages
Ready to apply?
Apply to Example Corp
Senior Data Scientist
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We are looking for a Senior Data Scientist to join our Product Engineering team in Helsinki, Dublin, or the UK.
If you are a naturally curious problem-solver who thrives on discovering innovative ways to extract value from data, this is your chance to lead high-impact initiatives for a fast-growing SaaS powerhouse
In this role, you will…
- Solving the "Unsolvable": Dive into massive datasets to architect and implement robust, data-driven solutions that solve high-stakes business problems for our customers.
- Product-Embedded Innovation: Focus on building and embedding insights directly into the Supermetrics product suite, moving beyond theory into live, functional features.
- The Scale-Up Mindset: Thrive in a high-velocity environment where you are expected to pioneer new solutions, remain creative, and lead with a relentless "product-first" focus.
- Fueling the AI Engine: Leverage Supermetrics’ one-of-a-kind dataset to build market-differentiated products. If data is the fuel for AI, you’ll be sitting on one of the best "refineries" in the industry.
- High-Leverage Impact: Utilize our unique data access to create solutions that simply can’t be built anywhere else, giving you the platform to make a massive, visible impact on the industry
Your day-to-day work and responsibilities include…
- Identify opportunities to use advanced data science techniques leveraging a wide variety of MarTech data to solve problems and provide new insights to our customers.
- Develop and deploy AI/ML solutions, creating new products and value for our customers.
- Transform data science prototypes into scalable, production-ready, data-driven products in partnership with our infrastructure/engineering teams.
- Embed AI-powered features and automation tools in data science applications to improve velocity, product quality and customer experience as needed.
- Communicate the impact and outcomes of data science initiatives to stakeholders across the organization.
- Stay current with AI/ML advancements and continually seek for new ideas or paradigms that will add value to our customers.
This position is for you if you have…
- An advanced degree in a STEM-related field such as Mathematics, Statistics, Computer Science, Engineering, or a related field, or equivalent work experience.
- 5+ years of experience in Data Science or ML and AI with real-world data within a product development and/or research setting.
- Expertise in statistical analysis, ML modeling, experimentation, and optimization.
- Hands-on experience working with LLMs and AI agents, including fine-tuning, retrieval-augmented generation (RAG), and deploying models to enhance product features.
- A proactive mindset, a continual pursuit of new ideas and data sources, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.
- Proficiency in Python and SQL, with experience using libraries such as Pandas, NumPy, Scikit-learn, and deep learning frameworks like TensorFlow or PyTorch.
- Experience working with Agent frameworks (e.g. google adk, LangChain) and AI agent evaluation
- Expert-level experience building and deploying data science products using cloud platforms (e.g., AWS, GCP) and MLOps tools.
- Strong project management experience and ability to work with a diverse, distributed, and talented group of people.
- Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders.
- Domain knowledge of large-scale, data-driven SaaS applications.
We also appreciate…
- Experience with MarTech advanced analytics techniques and use cases (i.e. propensity modelling, Media Mix Modelling, personalisation/customer segmentation).
- Experience in the end-to-end development of AI products.
Benefits we offer…
- Competitive compensation package, including equity
- Great work equipment, and home office allowance for those working in our fully remote locations
- Health care benefit and leisure time insurance
- Annual 1000 euros of personal learning budget
- Sports and wellbeing allowance
Benefits may vary depending on location.
Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.
Get to know our Engineering team at supermetrics.com/careers/engineering
#LI-Remote / #LI-Hybrid #LI-FullTime
Join us on our mission to make data a marketing superpower
Supermetrics builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products.
We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started!
We're a team of 400+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team.
Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together.
We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.
Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce, and we are dedicated to creating an environment where everyone feels valued and respected.
It all started with a Google t-shirt... Read the rest of our growth story at supermetrics.com/about.
Ready to apply?
Apply to Supermetrics
Clinical Scientist, Clinical Sciences (Fixed-Term Contract)
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Company introduction:
Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to accelerating patient access to evidence-based innovation in mental health. The Company is headquartered in London, UK, with offices in New York City in the US. We focus on developing novel treatments that have the potential to improve the lives of those who are suffering with mental health conditions and who are not helped by current treatments.
We are pioneering a new paradigm for treating mental health conditions focused on rapid and durable responses through the development of our investigational COMP360 synthetic psilocybin treatment, potentially a first in class treatment. COMP360 has Breakthrough Therapy designation from the US Food and Drug Administration (FDA) and has received Innovative Licensing and Access Pathway (ILAP) designation in the UK for treatment-resistant depression (TRD) due to the pressing unmet need in this area.
We are currently in phase 3 for TRD, have completed phase 2 studies for both post-traumatic stress disorder (PTSD) and anorexia nervosa and are planning a further late-stage study in PTSD. We envision a world where mental health means not just the absence of illness but the ability to thrive. - Compass Pathways.
Job overview:
The Clinical Scientist, Clinical Sciences will assist with the clinical development and scientific oversight of late stage clinical trials.
The role partners closely with Clinical Operations, Statistics, Data Management, Clinical Safety, Regulatory Sciences, and HEOR to deliver high-quality studies, enabling timely, compliant, and insight-driven decision making.
Location: Hybrid in our Soho London office or remote in the United Kingdom.
Reports to: Principal Clinical Scientist, Clinical Sciences.
Duration: Until the end of 2026.
Roles and responsibilities
(Include but are not limited to):
- Serve as the primary “point person” for assigned clinical research duties
- Support scientific oversight during study execution, supporting database design, medical monitoring, site initiation visits, protocol deviation review and clarification, and interpretation of clinical signals across programs
- Author and review participant-facing documents such as the informed consent form and advertisement material
- Support development of study conduct and statistical analysis plans; review data to ensure quality of study conduct and data collection
- Accountable for compliance with ethical and scientific standards, regulatory requirements, and the Compass Quality Management System, ensuring participant safety, data integrity, and accuracy throughout the trial process
- Contribute to cross-functional readiness for key milestones (database lock, regulatory documents), establishing operating rhythms and documentation standards consistent with Compass values and governance
- Champion patient-centric design, incorporating feasibility data, KOL feedback, and ethical considerations into procedures, visit schedules, and burden-reduction strategies
Candidate Profile:
- A PhD or PharmD is highly preferred but not required. MS candidates with equivalent experience also will be considered
- PhD or post-doctoral training should be in neuroscience, pharmacology, psychology, psychiatry, or other relevant biomedical science
- PharmD graduates should have training in research methods or postdoctoral research experience as above
- MS graduates should demonstrate scientific accomplishment comparable to that acquired in doctoral training as above
- Relevant experience in conducting and designing clinical research in neuroscience, pharmacology, psychiatry, or neurology
- Proven capability to translate biology and patient insights into clear study objectives, endpoints, and operationally feasible designs
- Strong analytical and statistical skills, experience authoring scientific documents, and well-developed communication skills appropriate to varying target audiences
- Excellent scientific writing, data interpretation, and communication skills, with a track record of high-quality clinical documents and timely milestone delivery
- Mission-aligned, inclusive contributor who reflects Compass values and a wellbeing-first, stigma free culture
Benefits & Compensation:
For an overview of our benefits package and compensation information, please visit "Working at Compass".
Equal opportunities:
Reasonable accommodation
We are committed to building a workplace where everyone’s wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know.
UK applicants
We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability.
US applicants
Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law.
Sponsorship:
Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying.
Data Privacy:
All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.
Ready to apply?
Apply to Compass PathwaysHeartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
Join Heartflow’s world-class Research team as a Collaborating Research Scientist with a joint visiting researcher appointment in Professor Ben Glocker’s lab at Imperial College London. This position focuses on advancing state-of-the-art Generative AI technologies for Coronary Computed Tomography Angiography (CCTA). In this role, you will work on cutting edge academic research, IP generation and high-impact publications while ensuring that technical breakthroughs can be translated into Heartflow’s product-grade models.
At Imperial College: You will be an active member of one of the world’s leading medical imaging labs, participating in seminars, collaborating with academics, and engaging in the vibrant Imperial ecosystem in South Kensington.
At Heartflow: You will be a key stakeholder in our research roadmap, with access to massive, proprietary datasets that are unavailable to pure academic labs, with the opportunity for translation of your work into medical devices with global impact.
Key Responsibilities:
- Design and implement state-of-the-art generative architectures to synthesize high-fidelity, anatomically accurate CCTA image data.
- Publish and present at top-tier venues (such as MICCAI, ICCV, CVPR, NeurIPS).
- Provide technical reports and reproducible code to enable the translation of research into products by Research team members and development teams.
- Identify and protect new IP for Heartflow in emerging AI domains.
- Educate people across groups and departments on generative AI.
Skills Needed:
- Proven expertise in generative AI methods for computer vision or medical image analysis (diffusion models, flow matching, GANs, VAEs).
- Ability to clearly communicate complex ideas, tailoring content for diverse audiences.
- Experience developing generative AI systems with large-scale imaging datasets.
- Advanced proficiency in Python and PyTorch, with a commitment to writing clean, reproducible and scalable research code.
- A track record of first-author publications in top tier AI or medical imaging conferences.
Desirable Skills:
- Experience in causal modeling, and/or conditional generative models.
- Experience in developing multimodal generative AI systems.
- Experience developing AI systems with sparse and/or noisy labels.
- Experience building deep learning models for 3D medical image data.
Educational Requirements & Work Experience:
- A PhD degree in computer science, engineering, math or similar technical field.
- Preferably 2+ years related experience, in industry or academia, with Generative AI in computer vision or medical image analysis.
#LI-IB1
Ready to apply?
Apply to Heartflow
Applied Machine Learning Scientist
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
What you'll bring to the table:
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
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Senior Field Application Scientist EMEA, Cell Therapy & Regulatory Markets
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Who we are...
Cell Signaling Technology (CST) is a different kind of life sciences company, one founded, owned, and run by active research scientists, with the highest standards of product and service quality, technological innovation, and scientific rigor for over 20 years. We consistently provide fellow scientists around the globe with best-in-class products and services to fuel their quests for discovery.
Helping researchers find new solutions is our main mission every day, but it's not our only mission. We're also dedicated to helping identify solutions to other problems facing our world. We believe that all businesses must be responsible and work in partnership with local communities, while seeking to minimize their environmental impact. That's why we joined 1% for the Planet as its first life science member, and have committed to achieving net-zero emissions by 2029.
The role
The Senior Field Application Specialist (Sr. FAS) EMEA, Cell Therapy & Regulatory Markets, serves as a trusted scientific partner to customers in the cell therapy, biopharmaceutical and regulated research markets including CMOs and CDMOs. Leveraging deep expertise in CAR-T workflows and GMP/regulatory requirements, this role will empower customers to navigate the transition from discovery to clinical manufacturing. With a strong emphasis on GMP-aligned applications, the FAS provides deep technical expertise, regulatory awareness, and hands-on support to enable successful implementation of CST products in both research and clinical manufacturing environments. Also responsible to reach and/or exceed territory budgetary goals through sales success across key product areas.
You'll have the opportunity to...
- Serve as the primary scientific and technical liaison for customers across EMEA (direct and indirect markets), working in CAR-T and cell therapy development, including GMP and GxP environments
- To be the subject matter expert for customers operating in regulated environments, advising on the selection of CST products that meet cGMP and ISO 13485 quality standards, assay validation, comparability studies, and documentation requirements
- Provide expert pre- and post-sales support on CST products and assays across discovery, translational, and manufacturing workflows
- Support customers operating in regulated markets, including clinical development, quality control, and technology transfer teams
- Partner with the regional commercial team to identify high-value opportunities within the cell and gene therapy (CGT) sector, delivering technical presentations that address the specific pain points of regulatory-market researchers
- Collaborate with Sales, Marketing, Product Management, and R&D to align customer needs with CST product strategy, communicate market trends and regulatory shifts, influencing the development of next-generation reagents for the clinical market
- Support regulatory-driven customer inquiries, including questions related to traceability, reproducibility, lot-to-lot consistency, and change control
- Gather and communicate field insights to internal teams to inform product development and market expansion in the cell therapy space
- Represent CST at scientific conferences, industry meetings, and customer events focused on cell therapy, immuno-oncology, and biomanufacturing
- To drive successful product launches and adoption in EMEA integrating local market specificities including development of sales launch packages, value propositions that are accepted by the sales force and tracking revenue in accordance with forecasts
- To support Early Access Program with sales, marketing, technical support and R&D
- To drive building a KOL network in EMEA, identify customers for possible joint collaborations and facilitate connections with CST R&D
- To work with the global Product Trainer to organize and provide internal training/workshop sessions for EMEA sales representatives and distribution partners.
- Collaborate deeply with the broader EMEA Sales organization and support as needed. This may involve at any time providing people cover for the FAS team in EMEA
- To cultivate a collaborative regional FAS team culture and a strong support system across EMEA
Who you are and what you bring to the team...
- PhD or Master in Cell Biology, Immunology or equivalent
- 8+ years commercial experience working directly in or supporting GMP/GxP environments within the biopharmaceutical industry
- Hands-on experience in GMP/ GxP environments, including assay development, validation, or manufacturing support
- Deep technical knowledge of CAR-T cell manufacturing processes
- Strong understanding of regulatory expectations in clinical development
- Proven ability to communicate complex scientific concepts to diverse audiences, including scientists, QA/QC, and regulatory stakeholders
- Experience in an international business environment
- Ability to work in a fast-paced environment, manage deliverables and deadlines simultaneously
- Excellent communication, presentation and organizational skills
- Ability to adapt scientific communication in the field based on customer needs
- Excellent knowledge of English both in word and writing. Knowledge of additional European languages is highly desirable
- Travel frequently in the field to customers (>60%)
What we offer....
At Cell Signaling Technology (CST) we recognize that people will always be our most important asset. Providing a safe, inclusive, and stimulating working environment that understands the importance of diversity, human dignity and meaningful work is as important as establishing company policies that incorporate excellent health insurance and pay benefits. We recognize that development of people is the key to their happiness and thus ensure every employee has impactful discussions with their manager and develops actionable performance and professional development plans. Lastly, we are committed to engaging and supporting our employees in committees and philanthropy that benefit their local communities and environment through community investment programs.
Benefits
- Good work-life balance
- Close to the central station of Leiden
- € 250,- yearly sport contribution
- Pension scheme
- Employee Assistance Programme
- Tuition Reimbursement
- Development opportunities
- Great CSR initiatives
Cell Signaling Technology (CST) is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, status as a veteran or as a member of the military or status in any group protected by applicable federal or state laws.
AGENCIES
All resumes submitted by search firms/employment agencies to any employee at Cell Signaling Technology (CST) via email, the internet or in any form and/or method will be deemed the sole property of CST, unless such search firms/employment agencies were engaged by CST for this position and a valid agreement with CST is in place. In the event a candidate who was submitted outside of the CST agency engagement process is hired, no fee or payment of any kind will be paid.
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Apply to Cell Signaling TechnologyStrategic Deployment Manager, Life Science
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We’re looking to hire a Strategic Deployment Manager to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Enterprise Informatics team, you’ll play a vital role in all stages of the Schrödinger Platform deployment for customers, from initial project scoping through to long term successful adoption. By serving as the bi-directional voice for these customers, you’ll also help drive future product development strategy.
Click here for more information about how the Schrödinger Platform is helping shape the future of collaborative therapeutic design.
We're seeking to fill this position in one of our offices in Germany (Mannheim, Munich) or remotely in the UK.
Who will love this job:
- A pharmaceutical or chemical enterprise software technology expert who’s knowledgeable about industry best practices and enjoys interacting with medicinal chemists, computational chemists, biologists, and project leadership
- A scientist who understands project management in a corporate research setting (direct experience with pharmaceutical drug discovery is a huge plus!)
- An effective communicator with excellent organizational skills
- A customer-service oriented deployment manager who’s passionate about helping drive user success
What you’ll do:
- Manage LiveDesign implementation projects from early-stage discussions through deployment, training, and growth
- Ensure long-term customer success through use of the Schrödinger Platform
- Collaborate internally with Account Managers, Applications Scientists, Solutions Architects, and the Education team to ensure success of the account by enabling substantial growth and usage
- Help drive the product roadmap and development by working closely with product management and engineering, representing real-world customer needs
What you should have:
- B.Sc. in a life science (M.Sc. or Ph.D. preferred)
- At least three years of experience in a life sciences field related to drug discovery
- Experience with computational chemistry or cheminformatics in a research setting
What we offer:
- A highly motivated international workplace with growth potential
- Internal mentorship and training
- Competitive salary and flexible working environment
- Annual company shutdown in addition to regular vacation days
As a Schrödinger employee, you'll also enjoy our employee volunteer program, our donation match program, access to the corporate benefits platform, a dedicated counseling service, and our company travel insurance. As an employee in one of our offices in Germany (Mannheim or Munich), you'll enjoy local transport reimbursement, a BahnCard 50, bike leasing, and the EGYM Wellpass (corporate fitness program). Our offices are centrally-located, stocked with snacks and beverages, powered by green energy, and host to many team-building events.
Ready to apply?
Apply to Schrödinger