data scientist

senior data scientist

ai engineer

senior ai engineer

analytics engineer

ai researcher

American Express

<div>Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing.
AI Labs seeks an AI Researcher to contribute to advanced research that will power credit, fraud and marketing decisions. The candidate serves as a thought leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the models, and algorithms that power our customers&rsquo; digital experiences. This role sits at the intersection of applied AI research, large-scale AI platforms, and large-scale compute infrastructure. The AI researcher will help define and execute a forward-looking research agenda and help to translate cutting-edge machine learning, and systems innovation into scalable, governed, and business-critical AI capabilities. Role is focused on advanced modelling solutions for structured data (tabular data, sequence of events, timeseries, graph-based structures).
The ideal candidate will combine deep hand-on ML research expertise with strong practical knowledge and experience in building scalable infrastructure and data science platforms.
Colleagues in AI Labs serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Global Decision Science teams use industry leading modelling and AI practices to predict customer behaviour. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.</div>
 <div><ul><li>Ph.D degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field or equivalent work experience.
</li><li>Work experience in applied research lab organisations is a plus.
</li><li>Very strong record of applied research impact through platforms, patents, production systems, or enterprise-scale adoption, in addition to traditional publications.
</li><li>Expertise with GPU-accelerated ML workloads, high-performance computing, and advanced optimization techniques are essential.
</li><li>Expert knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning in areas such as transformer and attention-based architectures, deep learning for structured sequential and graph data, multi-task and transfer learning.
</li><li>Exceptional programming skills in Python, Spark. Additional knowledge of C/C++ and Java is preferred
</li><li>Expertise in hybrid-cloud AI/ML infrastructure, including Google Cloud (e.g., Vertex AI, BigQuery, Dataproc) and large-scale distributed computing environments.
</li><li>Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
</li><li>Exceptional people leadership and managerial skills
</li><li>Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
</li><li>Effective communication skills and ability to explain complex data products in simple terms
</li><li>Strong relationship building and collaborative skills. 
</li></ul> 
Employment eligibility to work with American Express in UK is required as the company will not pursue visa sponsorship for these positions.</div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>Support for financial-well-being and retirement
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>Generous paid parental leave policies (depending on your location)
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><div>Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div></div>

AI Researcher

<div>At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare.
We are looking for a researcher with a track record in successfully developing and publishing state-of-the-art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic.
The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.
In this role you will
<ul><li>Perform and publish ML research for the evaluation and development of biomedical foundation models, on various healthcare modalities (including multimodal).
</li><li>Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery and challenging biomedical datasets.
</li><li>Support different teams across AIML and GSK in building ethical ML pipelines and software products.
</li><li>Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK&rsquo;s responsible AI strategy.
</li></ul>Why you?
Qualifications &amp; Skills:
We are looking for professionals with these required skills to achieve our goals:
<ul><li>A PhD-equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML research engineer.
</li><li>A track record of performing high quality ML research, evidenced by publications at major ML venues.
</li><li>A strong foundation in machine learning and experience with state-of-the-art modelling approaches, especially foundation models.
</li><li>Demonstrated programming expertise in Python and experience working with different types of complex and/or multi-modal datasets.
</li><li>Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow).
</li><li>Keenness to learn fast in a new domain and to develop your ML and software engineering skills.
</li><li>Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.
</li></ul>Preferred Qualifications &amp; Skills:
If you have the following characteristics, it would be a plus:
<ul><li>Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
</li><li>Contributions to relevant open-source projects.
</li><li>A background or interest in drug discovery, biology, medicine or ethics.
</li></ul>Closing Date for Applications: Monday 6th July 2026 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert. 
 
When applying for this role, please use the &lsquo;cover letter&rsquo; of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. 
 
During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.
#LI-GSK
#LI-Hybrid
#GSKAIML
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.
We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer, Responsible AI

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.

Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.

We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.

You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul>Essential Skills &amp; Experience
<ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul>Desirable Skills &amp; Experience
<ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul>What's on Offer
<ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

C3 AI

<div><div>C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI</div>
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. 
 
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

This is a frontline role on some of the most consequential AI programmes in UK and European defence today. You will help design and deploy AI that keeps aircraft and platforms mission-ready through predictive maintenance, that sharpens decision-making through Digital Targeting, and that sustains operations through logistics in contested and degraded environments. These are live programmes with real operational stakes, delivered into demanding, secure settings across the UK MOD, NATO, and allied European partners.

Some travel to customer and partner locations should be expected.

Responsibilities
<ul>
<li>Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.</li>
<li>Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.</li>
<li>Contribute to the design and implementation of new features of the C3 AI Suite.</li>
<li>Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.</li>
<li>Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.</li>
</ul>
This role supports defence programmes that require UK Security Clearance. Candidates must hold, or be able to obtain and maintain, [SC / NATO] clearance. Eligibility is set by the contracting authority and typically requires a minimum of five years' continuous UK residence.

Qualifications
<ul>
<li>MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.</li>
<li>Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).</li>
<li>Strong mathematical background (linear algebra, calculus, probability and statistics).</li>
<li>Experience with scalable ML (MapReduce, streaming).</li>
<li>Ability to drive a project and work both independently and in a team.</li>
<li>Smart, motivated, can do attitude, and seeks to make a difference.</li>
<li>Excellent verbal and written communication.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.</li>
<li>A portfolio of projects (GitHub, papers, etc.) is a plus.</li>
</ul>
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.<div> 
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.</div></div>

Data Scientist - Defence

9fin

<div>
 
 About 9fin
 
 
 
 9fin is the AI platform powering global debt markets &mdash; the world&rsquo;s largest asset class at over $145 trillion.
 
 
 Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
 
 
 Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
 
 
 We&rsquo;re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.
 
 
 
 The Opportunity
 
 
 
 The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a
 
 Senior AI Engineer
 
 to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!
 
 
 
 Every day is different, but here's an example of the kind of things you'll work on:
 
 
 
 <ul>
 <li>
 Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.
 </li>
 <li>
 Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.
 </li>
 <li>
 Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.
 </li>
 <li>
 Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.
 </li>
 <li>
 Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.
 </li>
 <li>
 Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 This role will be a great fit if you:
 
 
 <ul>
 <li>
 Strong proficiency in Python for production ready delivery.
 </li>
 <li>
 You&rsquo;re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal:
 </li>
 <ul>
 <li>
 Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers.
 </li>
 <li>
 Entity/relationship extraction/resolution
 </li>
 <li>
 Knowledge Graphs; building and inference, graphRAG
 </li>
 <li>
 Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.
 </li>
 <li>
 Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)
 </li>
 <li>
 Statistical &amp; Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.
 </li>
 <li>
 Deep understanding of the GenAI landscape and agentic frameworks.
 </li>
 </ul>
 <li>
 Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!
 </li>
 <li>
 You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.
 </li>
 <li>
 Good knowledge of AWS&rsquo;s AI infrastructure.
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We&rsquo;re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
 
 
 
 Financial &amp; Insurance
 
 
 
 <ul>
 <li>
 Competitive Salary (our salary bands are benchmarked at the top end of the market)
 </li>
 <li>
 Equity
 </li>
 <li>
 Pension (your minimum contributions are 4% with 9fin matching up to 7%)
 </li>
 <li>
 Private Medical Insurance
 </li>
 <li>
 Paid sick leave with Income Protection for long periods of illness
 </li>
 <li>
 Group Life Assurance
 </li>
 <li>
 Season Ticket Loan &amp; Cycle to Work schemes
 
 
 </li>
 </ul>
 
 Time off
 
 
 
 <ul>
 <li>
 25 holiday days per year
 </li>
 <li>
 Local public holidays (with the ability to exchange them for alternative days)
 </li>
 <li>
 Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
 </li>
 <li>
 Work abroad for up to 3 months a year
 </li>
 <li>
 1 month paid sabbatical after 5 years of service
 </li>
 <li>
 Enhanced parental leave &amp; flexible working arrangements available
 
 
 </li>
 </ul>
 
 Training &amp; Culture
 
 
 
 <ul>
 <li>
 Professional learning and development budget
 </li>
 <li>
 AI experimentation budget of &pound;800 (UK) per employee to trial AI tools
 </li>
 <li>
 Quarterly team socials
 </li>
 <li>
 Summer and Winter company social events
 
 
 </li>
 </ul>
 
 9fin is an equal opportunities employer
 
 
 
 At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you&rsquo;re excited about this role but your experience doesn&rsquo;t perfectly align with the job description, we encourage you to apply anyway. You might just be who we&rsquo;re looking for &mdash; either for this role, or perhaps another.
</div>

Senior AI Engineer

Resolution

<div><h1 class="jobSectionHeader">About Resolution</h1>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.
For more information, see our announcement.<h1 class="jobSectionHeader">
About the Team</h1>
We are hiring Research Scientists across our research programs. The team you'd join depends on your strengths and interests. In your application, indicate which program(s) you'd be most interested in.<h2 class="jobSectionHeader">
About the Role</h2>
As a Research Scientist at Resolution, you'll work as part of a research program led by a senior researcher (which could be you!). At Resolution, our goal of reaching higher confidence in alignment will require significant new contributions in both methods and scientific understanding. The work you do day-to-day will be part of a collaborative research program; all programs involve deep technical research, with strong support for cross-program collaboration. We welcome both empirical and theoretical profiles.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Research within your program: both translating and modelling alignment problems into concrete empirical or theoretical form and executing on the resulting concrete problems. Execution means designing and running experimental protocols and methods for empirics, and proving, conjecturing, and investing in autoformalization for theory.</li><li>
Writing and presentation of completed research in the form of papers, blog posts, and talks.</li><li>
Communication of research progress and obstacles to members of your team through channels like Slack on a daily basis and in weekly meetings.</li></ul><h2 class="jobSectionHeader">
You May Be a Good Fit If You</h2><ul><li>
Have a graduate degree (Ph.D.) or equivalent experience in a field relevant to the program you're applying to: ML, CS, mathematics, physics, statistics, philosophy, or something closely related</li><li>
Have a track record of research and strong technical writing ability: papers, preprints, or comparable output</li><li>
Have a strong mathematical background, even if your work is primarily empirical</li><li>
Can credibly articulate why your area of alignment work is worth pursuing</li><li>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</li><li>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time</li></ul><h2 class="jobSectionHeader">
Strong Candidates May Also Have</h2><ul><li>
(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory</li><li>
(For complexity theory) Demonstrated expertise in theoretical computer science, including creative modeling and assumption generation</li><li>
(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory</li><li>
(Across programs) Experience scaling experiments to billion-plus parameter models; a track record of productive collaboration with engineers; prior engagement with our research or sibling organizations (Simplex, ARC, etc.). Experience with AI alignment is a plus, but is not a requirement: we are excited to bring experienced researchers from other fields into alignment work, and we see our ability to facilitate that transition as one of Resolution's comparative advantages.</li></ul><h2 class="jobSectionHeader">
Research Program Lead</h2>
We're also building out program leadership across our research areas. We expect to fill these roles primarily through targeted headhunting rather than open applications. If you think you might be a strong fit for a Research Program Lead position, a senior researcher who could direct an entire research program at Resolution, please reach out to us directly.<h1 class="jobSectionHeader">
Application Process</h1>
Initial screener. A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.
Work trial. A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.
Work trial review. A 45-minute discussion of your work trial.
Research talk. A 30&ndash;40 minute interactive conversation about your previous research.
Senior 1:1. A 30-minute conversation with a member of our research leadership.<h1 class="jobSectionHeader">
Logistics</h1>
Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:<ul><li>
L3: $141,000 remote; $236,000 in-person</li><li>
L4: $208,000 remote; $346,000 in-person</li><li>
L5: $270,000 remote; $451,000 in-person</li><li>
L6: $402,000 remote; $670,000 in-person</li><li>
L7: $738,000 remote; $930,000 in-person</li></ul>
Strong early-career researchers will typically come in at L3. Someone with several years of independent research experience would likely start at L4 or L5.
Location: Berkeley, California. Remote may be considered in exceptional cases.
Benefits:<ul><li>
5 weeks of paid vacation per year, in addition to public holidays.</li><li>
Comprehensive healthcare insurance (medical, dental, vision).</li><li>
Unlimited sick leave to prioritize your well-being.</li><li>
An unconditional 401(k) contribution equal to 4% of your salary.</li></ul>
Visa sponsorship: We can sponsor visas for relocation to Berkeley.
Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.
Deadline: Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.
Start date: ASAP.
Compensation Range: $141K - $930K</div>

Research Scientist

Solve Intelligence

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 At
 
 Solve Intelligence
 
 , we&rsquo;re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a brilliant Infrastructure Engineer to build the secure, scalable engine that makes it all possible.
 
 
 🏗️ The Role: Infrastructure Engineer
 
 
 You&rsquo;ll be joining the leanest, most talent-dense engineering team in London. You aren't just managing servers; you are designing the multi-region, high-throughput systems that handle complex AI workloads.
 
 
 
 What You&rsquo;ll Own
 
 
 
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 Cloud Architecture: Design and maintain our AWS environment using Terraform, optimizing for reliability, cost-efficiency, and massive scale.
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 Global Footprint: Build infrastructure patterns for multi-region deployment and fully isolated single-tenant environments for enterprise customers.
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 Developer Velocity: Architect CI/CD pipelines (GitHub Actions, Docker) that allow our team to ship safely and quickly.
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 Observability &amp; Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do.
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 AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency.
 
 
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 💡 About Solve Intelligence
 
 
 We&rsquo;re the fastest-growing startup transforming the IP industry.
 
 
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 Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises).
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 Proven Value: Users report 50-90% efficiency gains using our AI platform.
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 Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others.
 
 
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 👋 Your Team
 
 
 You&rsquo;ll partner with a founding team of AI PhDs and elite systems engineers:
 
 
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 Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&amp;D, former lead at Magic Carpet AI (acquired).
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 Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
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 Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
 
 
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 🚀 Who You Are
 
 
 We are a high-performance culture of "hackers" and builders.
 
 
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 Speed &amp; Safety: You believe that great infrastructure is what allows application engineers to move faster.
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 Extreme Ownership: You strive for excellence in every configuration and take pride in "five nines" reliability.
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 Driven &amp; Humble: You are willing to go the extra mile (including the occasional late night or weekend) to ensure our systems are bulletproof.
 
 
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 🛠️ What You Bring
 
 
 
 Must-Haves
 
 
 
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 Experience: Owning and scaling cloud infrastructure (AWS preferred).
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 IaC Expert: Professional mastery of Terraform or similar.
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 CI/CD Veteran: Proven track record of building deployment pipelines that don't break.
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 Security First: Deep understanding of IAM, cloud networking, and security best practices.
 
 
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 Preferred &amp; Nice-to-Haves
 
 
 
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 Experience with ECS, container orchestration, and distributed task queues (Celery/SQS).
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 Strong Python skills.
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 Familiarity with the Datadog/Grafana observability stack.
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 A background in offensive security, CTFs, or AI/ML infrastructure.
 
 
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 🎁 What We Offer
 
 
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 Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company.
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 Founding Impact: You will have a direct hand in every architectural decision we make.
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 Support: Full visa sponsorship and private medical insurance.
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 The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team.
 
 
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 Ready to build the backbone of the future of AI? Apply now. 🚀
 
 
 
 Compensation Range: $120K - $250K
 
 
</div>

Infrastructure Engineer

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